Evaluation of the Supraglottic and Subglottic Activities Including Acoustic Assessment of the Opera-Chant Singers

Publication date: Available online 28 December 2017
Source:Journal of Voice
Author(s): Emine Petekkaya, Ahmet Hilmi Yücel, Özgür Sürmelioğlu
Opera and chant singers learn to effectively use aerodynamic components by breathing exercises during their education. Aerodynamic components, including subglottic air pressure and airflow, deteriorate in voice disorders. This study aimed to evaluate the changes in aerodynamic parameters and supraglottic structures of men and women with different vocal registers who are in an opera and chant education program. Vocal acoustic characteristics, aerodynamic components, and supraglottic structures were evaluated in 40 opera and chant art branch students. The majority of female students were sopranos, and the male students were baritone or tenor vocalists. The acoustic analyses revealed that the mean fundamental frequency was 152.33 Hz in the males and 218.77 Hz in the females. The estimated mean subglottal pressures were similar in females (14.99 cmH2O) and in males (14.48 cmH2O). Estimated mean airflow rates were also similar in both groups. The supraglottic structure compression analyses revealed partial anterior-posterior compressions in 2 tenors and 2 sopranos, and false vocal fold compression in 2 sopranos. Opera music is sung in high-pitched sounds. Attempts to sing high-pitched notes and frequently using register transitions overstrain the vocal structures. This intense muscular effort eventually traumatizes the vocal structures and causes supraglottic activity.



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The Influence of Noise on the Vocal Dose in Women

Publication date: Available online 28 December 2017
Source:Journal of Voice
Author(s): Alessandra Terra Vasconcelos Rabelo, Juliana Nunes Santos, Bárbara Oliveira Souza, Ana Cristina Côrtes Gama, Max de Castro Magalhães
ObjectiveThe objective of this study was to evaluate if noise interferes with the vocal dose in women without vocal complaints.Study designThis is an experimental and comparative study.MethodsData were collected on 27 women between 22 and 50 years of age without vocal complaints in a university classroom. Speech-language pathology evaluation was performed employing auditory-perceptual analysis and a vocal symptom questionnaire. The acoustics of the classroom were evaluated via both observation of the characteristics of the room and the quantification of background noise and reverberation time. Two distinctive acoustic conditions were created for evaluations: condition 1, a room without acoustic treatment and without noise reproduction, and condition 2, a room without acoustic treatment with noise reproduction. Each participant was evaluated individually in both acoustic conditions. To obtain vocal dose data, a vocal dosimeter was used. Subjects were asked to perform two 10-minute readings, one in each acoustic condition. The order of conditions was randomized between subjects. Subjects were instructed to complete the reading tasks at the vocal intensity deemed appropriate to be heard by a listener in the back of the room. t Tests and the Wilcoxon test were employed to compare parameters across subjects and conditions.ResultsFundamental frequency, vocal intensity, percentage of phonation, and cycle dose significantly increased in the background noise condition.ConclusionA positive relation between vocal dose and the presence of excessive noise in the environment was observed.



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The Effectiveness of the EASE Scale in the Development of a Vocal Warm-up Program for an Amateur Choir

Publication date: Available online 28 December 2017
Source:Journal of Voice
Author(s): Daniel Lucas Picanço Marchand, Fernanda Salles Kavaliunas, Mauriceia Cassol
ObjectivesThis study aims to assess the effectiveness of the EASE-BR (Evaluation of the Ability to Sing Easily for Brazil) protocol in the development of a vocal warm-up program for members of an amateur choir.Study DesignThis is a prospective cross-sectional study measuring pre- and postintervention results at two moments.MethodsForty-four subjects filled out a questionnaire to characterize the sample and underwent two major applications of the EASE-BR scale—the first to determine the group's vocal requirements and the second to assess the performance after the application of a customized vocal warm-up routine.ResultsOverall reduction of the scores in the postintervention moment has been determined. The score of 16 of the questions (72.7%) showed a statistically relevant reduction after the intervention.ConclusionsThe EASE-BR scale proved a valuable assessment tool and its use may help develop customized vocal warm-up programs for different types of singers.



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Erratum

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Erratum

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Erratum

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Cochlear Implantation After Partial or Subtotal Cochleoectomy for Intracochlear Schwannoma Removal—A Technical Report

Objective: To describe the technique for surgical tumor removal, cochlear implant (CI) electrode placement and reconstruction of the surgical defect in patients with intracochlear schwannomas. Study Design: Retrospective case review. Setting: Tertiary referral center. Patients: Ten patients (five men, five women, mean age 48 ± 12 yr) with profound or severe to profound hearing loss due to intralabyrinthine schwannomas with intracochlear location. Interventions: Surgical tumor removal through extended round window approach, partial or subtotal cochleoectomy with or without labyrinthectomy and reconstruction of the surgical defect with cartilage, perichondrium or temporal muscle fascia, and bone pâté. Eight patients received a cochlear implant in the same procedure. Main Outcome Measures: Retrospective evaluation of clinical outcome including safety aspects (adverse events) and audiological performance at early follow up in cases of cochlear implantation. Results: The tumor was successfully removed in all cases without macroscopic (operation microscope and endoscope) tumor remnants in the bony labyrinth apart from one case with initial transmodiolar growth. One patient needed revision surgery for labyrinthine fistula. At short-term follow up (3-month post-surgery), good hearing results with the cochlear implant were obtained in all but one patient with a word recognition score of 100% for numbers, and 64 ± 14% for monosyllables (at 65 dB SPL in quiet). Conclusions: Surgical tumor removal and cochlear implantation is a promising treatment strategy in the management of intralabyrinthine schwannoma with intracochlear location, further extending the indication range for cochlear implantation. It is, however, of importance to observe the long-term outcome in these patients and to address challenges like follow up with magnetic resonance imaging. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://ift.tt/OBJ4xP Address correspondence and reprint requests to Prof. Dr. med. Stefan K. Plontke, Department of Otorhinolaryngology, Head & Neck Surgery, Martin Luther University Halle-Wittenberg, University Medicine Halle, Ernst-Grube-Str. 40, 06120 Halle (Saale), Germany; E-mail: stefan.plontke@uk-halle.de Funding: There was no external funding received for this work. The authors’ institution (of SKP and TR) receives grant support for other collaborative research work (not related to this study) with Cochlear Ltd., Sydney, Australia, and Medel, Innsbruck, Austria. The authors SKP and TR received travel support for lectures from Cochlear, Ltd, Australia, and Medel, Innsbruck, Austria (not related to this study). Copyright © 2017 by Otology & Neurotology, Inc. Image copyright © 2010 Wolters Kluwer Health/Anatomical Chart Company

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Vestibular Outcome After Cochlear Implantation Is Not Related to Surgical Technique: A Double Blinded, Randomized Clinical Trial of Round Window Approach Versus Cochleostomy

Objective: To establish whether the round window approach (RWA) leads to less vestibular dysfunction and dizziness than the standard cochleostomy approach (SCA) during cochlear implant (CI) surgery, as assessed using the video head impulse test (vHIT). Additionally, objective findings were compared with the subjective dizziness perceived by the patient. Study Design: Double blinded, clinical randomized trial. Setting: University Hospital. Patients: Fifty-two ears from 46 patients were included. Inclusion criterion was a gain value more than 0.50. Intervention: Patients were randomized to the RWA or the SCA. Evaluation with the vHIT was performed before surgery, 1 day after surgery, and 1 month after surgery. Subjective dizziness was measured using a visual analogue scale (VAS) and the dizziness handicap inventory (DHI). Main Outcome Measures: Gain values and the incidence of catch-up saccades. Results: Three out of 23 patients in the SCA group experienced catch-up saccades compared with no patients in the RWA group, indicating the occurrence of objective vestibular dysfunction after CI surgery; the difference was not statistically significant. The VAS increased in both groups the day after surgery. The difference between the groups was not statistically significant. No statistically significant changes in the gain value or the DHI score could were observed between the two groups. Conclusion: No statistically significant difference between the cochleostomy approach and the round window approach using the vHIT and subjective dizziness perceived by the patient was found. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://ift.tt/OBJ4xP Address correspondence and reprint requests to Leise Elisabeth Hviid Korsager, M.D., Odense University Hospital, Sdr. Boulevard 29, 5000 Odense, Denmark; E-mail: leise.e.hviid.korsager@rsyd.dk Source of Funding: The study is sponsored by The Oticon Foundation, MED-EL G.m.b.H and Danaflex a/s. The authors disclose no conflicts of interest. Copyright © 2017 by Otology & Neurotology, Inc. Image copyright © 2010 Wolters Kluwer Health/Anatomical Chart Company

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A biophysical modelling platform of the cochlear nucleus and other auditory circuits: from channels to networks

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Paul B. Manis, Luke Campagnola
Models of the auditory brainstem have been an invaluable tool for testing hypotheses about auditory information processing and for highlighting the most important gaps in the experimental literature. Due to the complexity of the auditory brainstem, and indeed most brain circuits, the dynamic behavior of the system may be difficult to predict without a detailed, biologically realistic computational model. Despite the sensitivity of models to their exact construction and parameters, most prior models of the cochlear nucleus have incorporated only a small subset of the known biological properties. This confounds the interpretation of modelling results and also limits the potential future uses of these models, which require a large effort to develop. To address these issues, we have developed a general purpose, biophysically detailed model of the cochlear nucleus for use both in testing hypotheses about cochlear nucleus function and also as an input to models of downstream auditory nuclei. The model implements conductance-based Hodgkin-Huxley representations of cells using a Python-based interface to the NEURON simulator. Our model incorporates most of the quantitatively characterized intrinsic cell properties, synaptic properties, and connectivity available in the literature, and also aims to reproduce the known response properties of the canonical cochlear nucleus cell types. Although we currently lack the empirical data to completely constrain this model, our intent is for the model to continue to incorporate new experimental results as they become available.



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Auditory Sensory Gating Predicts Acceptable Noise Level

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Sharon E. Miller, Kaci Wathen, Elizabeth Cash, Teresa Pitts, Lynzee Cornell




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What Can Stimulus Polarity and Interphase Gap Tell Us About Auditory Nerve Function in Cochlear-Implant Recipients?

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Michelle L. Hughes, Sangsook Choi, Erin Glickman
Modeling studies suggest that differences in neural responses between polarities might reflect underlying neural health. Specifically, large differences in electrically evoked compound action potential (eCAP) amplitudes and amplitude-growth-function (AGF) slopes between polarities might reflect poorer peripheral neural health, whereas more similar eCAP responses between polarities might reflect better neural health. The interphase gap (IPG) has also been shown to relate to neural survival in animal studies. Specifically, healthy neurons exhibit larger eCAP amplitudes, lower thresholds, and steeper AGF slopes for increasing IPGs. In ears with poorer neural survival, these changes in neural responses are generally less apparent with increasing IPG. The primary goal of this study was to examine the combined effects of stimulus polarity and IPG within and across subjects to determine whether both measures represent similar underlying mechanisms related to neural health. With the exception of one measure in one group of subjects, results showed that polarity and IPG effects were generally not correlated in a systematic or predictable way. This suggests that these two effects might represent somewhat different aspects of neural health, such as differences in site of excitation versus integrative membrane characteristics, for example. Overall, the results from this study suggest that the underlying mechanisms that contribute to polarity and IPG effects in human CI recipients might be difficult to determine from animal models that do not exhibit the same anatomy, variance in etiology, electrode placement, and duration of deafness as humans.



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Single-ended prediction of listening effort using deep neural networks

Publication date: Available online 27 December 2017
Source:Hearing Research
Author(s): Rainer Huber, Melanie Krüger, Bernd T. Meyer
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on methods from automatic speech recognition, specifically on performance measures that quantify the degradation of phoneme posteriorgrams produced by a deep neural net: Noise or artefacts introduced by speech enhancement often result in a temporal smearing of phoneme representations, which is measured by comparison of phoneme vectors. This procedure does not require a priori knowledge about the processed speech, and is therefore single-ended. The proposed model was evaluated using three datasets of noisy speech signals with listening effort ratings obtained from normal hearing and hearing impaired subjects. The prediction quality was compared to several baseline models such as the ITU-T standard P.563 for single-ended speech quality assessment, the American National Standard ANIQUE+ for single-ended speech quality assessment, and a single-ended SNR estimator. In all three datasets, the proposed new model achieved clearly better prediction accuracies than the baseline models; correlations with subjective ratings were above 0.9. So far, the model is trained on the specific noise types used in the evaluation. Future work will be concerned with overcoming this limitation by training the model on a variety of different noise types in a multi-condition way in order to make it generalize to unknown noise types.



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A biophysical modelling platform of the cochlear nucleus and other auditory circuits: from channels to networks

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Paul B. Manis, Luke Campagnola
Models of the auditory brainstem have been an invaluable tool for testing hypotheses about auditory information processing and for highlighting the most important gaps in the experimental literature. Due to the complexity of the auditory brainstem, and indeed most brain circuits, the dynamic behavior of the system may be difficult to predict without a detailed, biologically realistic computational model. Despite the sensitivity of models to their exact construction and parameters, most prior models of the cochlear nucleus have incorporated only a small subset of the known biological properties. This confounds the interpretation of modelling results and also limits the potential future uses of these models, which require a large effort to develop. To address these issues, we have developed a general purpose, biophysically detailed model of the cochlear nucleus for use both in testing hypotheses about cochlear nucleus function and also as an input to models of downstream auditory nuclei. The model implements conductance-based Hodgkin-Huxley representations of cells using a Python-based interface to the NEURON simulator. Our model incorporates most of the quantitatively characterized intrinsic cell properties, synaptic properties, and connectivity available in the literature, and also aims to reproduce the known response properties of the canonical cochlear nucleus cell types. Although we currently lack the empirical data to completely constrain this model, our intent is for the model to continue to incorporate new experimental results as they become available.



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Auditory Sensory Gating Predicts Acceptable Noise Level

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Sharon E. Miller, Kaci Wathen, Elizabeth Cash, Teresa Pitts, Lynzee Cornell




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What Can Stimulus Polarity and Interphase Gap Tell Us About Auditory Nerve Function in Cochlear-Implant Recipients?

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Michelle L. Hughes, Sangsook Choi, Erin Glickman
Modeling studies suggest that differences in neural responses between polarities might reflect underlying neural health. Specifically, large differences in electrically evoked compound action potential (eCAP) amplitudes and amplitude-growth-function (AGF) slopes between polarities might reflect poorer peripheral neural health, whereas more similar eCAP responses between polarities might reflect better neural health. The interphase gap (IPG) has also been shown to relate to neural survival in animal studies. Specifically, healthy neurons exhibit larger eCAP amplitudes, lower thresholds, and steeper AGF slopes for increasing IPGs. In ears with poorer neural survival, these changes in neural responses are generally less apparent with increasing IPG. The primary goal of this study was to examine the combined effects of stimulus polarity and IPG within and across subjects to determine whether both measures represent similar underlying mechanisms related to neural health. With the exception of one measure in one group of subjects, results showed that polarity and IPG effects were generally not correlated in a systematic or predictable way. This suggests that these two effects might represent somewhat different aspects of neural health, such as differences in site of excitation versus integrative membrane characteristics, for example. Overall, the results from this study suggest that the underlying mechanisms that contribute to polarity and IPG effects in human CI recipients might be difficult to determine from animal models that do not exhibit the same anatomy, variance in etiology, electrode placement, and duration of deafness as humans.



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Single-ended prediction of listening effort using deep neural networks

Publication date: Available online 27 December 2017
Source:Hearing Research
Author(s): Rainer Huber, Melanie Krüger, Bernd T. Meyer
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on methods from automatic speech recognition, specifically on performance measures that quantify the degradation of phoneme posteriorgrams produced by a deep neural net: Noise or artefacts introduced by speech enhancement often result in a temporal smearing of phoneme representations, which is measured by comparison of phoneme vectors. This procedure does not require a priori knowledge about the processed speech, and is therefore single-ended. The proposed model was evaluated using three datasets of noisy speech signals with listening effort ratings obtained from normal hearing and hearing impaired subjects. The prediction quality was compared to several baseline models such as the ITU-T standard P.563 for single-ended speech quality assessment, the American National Standard ANIQUE+ for single-ended speech quality assessment, and a single-ended SNR estimator. In all three datasets, the proposed new model achieved clearly better prediction accuracies than the baseline models; correlations with subjective ratings were above 0.9. So far, the model is trained on the specific noise types used in the evaluation. Future work will be concerned with overcoming this limitation by training the model on a variety of different noise types in a multi-condition way in order to make it generalize to unknown noise types.



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A biophysical modelling platform of the cochlear nucleus and other auditory circuits: from channels to networks

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Paul B. Manis, Luke Campagnola
Models of the auditory brainstem have been an invaluable tool for testing hypotheses about auditory information processing and for highlighting the most important gaps in the experimental literature. Due to the complexity of the auditory brainstem, and indeed most brain circuits, the dynamic behavior of the system may be difficult to predict without a detailed, biologically realistic computational model. Despite the sensitivity of models to their exact construction and parameters, most prior models of the cochlear nucleus have incorporated only a small subset of the known biological properties. This confounds the interpretation of modelling results and also limits the potential future uses of these models, which require a large effort to develop. To address these issues, we have developed a general purpose, biophysically detailed model of the cochlear nucleus for use both in testing hypotheses about cochlear nucleus function and also as an input to models of downstream auditory nuclei. The model implements conductance-based Hodgkin-Huxley representations of cells using a Python-based interface to the NEURON simulator. Our model incorporates most of the quantitatively characterized intrinsic cell properties, synaptic properties, and connectivity available in the literature, and also aims to reproduce the known response properties of the canonical cochlear nucleus cell types. Although we currently lack the empirical data to completely constrain this model, our intent is for the model to continue to incorporate new experimental results as they become available.



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Auditory Sensory Gating Predicts Acceptable Noise Level

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Sharon E. Miller, Kaci Wathen, Elizabeth Cash, Teresa Pitts, Lynzee Cornell




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What Can Stimulus Polarity and Interphase Gap Tell Us About Auditory Nerve Function in Cochlear-Implant Recipients?

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Michelle L. Hughes, Sangsook Choi, Erin Glickman
Modeling studies suggest that differences in neural responses between polarities might reflect underlying neural health. Specifically, large differences in electrically evoked compound action potential (eCAP) amplitudes and amplitude-growth-function (AGF) slopes between polarities might reflect poorer peripheral neural health, whereas more similar eCAP responses between polarities might reflect better neural health. The interphase gap (IPG) has also been shown to relate to neural survival in animal studies. Specifically, healthy neurons exhibit larger eCAP amplitudes, lower thresholds, and steeper AGF slopes for increasing IPGs. In ears with poorer neural survival, these changes in neural responses are generally less apparent with increasing IPG. The primary goal of this study was to examine the combined effects of stimulus polarity and IPG within and across subjects to determine whether both measures represent similar underlying mechanisms related to neural health. With the exception of one measure in one group of subjects, results showed that polarity and IPG effects were generally not correlated in a systematic or predictable way. This suggests that these two effects might represent somewhat different aspects of neural health, such as differences in site of excitation versus integrative membrane characteristics, for example. Overall, the results from this study suggest that the underlying mechanisms that contribute to polarity and IPG effects in human CI recipients might be difficult to determine from animal models that do not exhibit the same anatomy, variance in etiology, electrode placement, and duration of deafness as humans.



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Single-ended prediction of listening effort using deep neural networks

Publication date: Available online 27 December 2017
Source:Hearing Research
Author(s): Rainer Huber, Melanie Krüger, Bernd T. Meyer
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on methods from automatic speech recognition, specifically on performance measures that quantify the degradation of phoneme posteriorgrams produced by a deep neural net: Noise or artefacts introduced by speech enhancement often result in a temporal smearing of phoneme representations, which is measured by comparison of phoneme vectors. This procedure does not require a priori knowledge about the processed speech, and is therefore single-ended. The proposed model was evaluated using three datasets of noisy speech signals with listening effort ratings obtained from normal hearing and hearing impaired subjects. The prediction quality was compared to several baseline models such as the ITU-T standard P.563 for single-ended speech quality assessment, the American National Standard ANIQUE+ for single-ended speech quality assessment, and a single-ended SNR estimator. In all three datasets, the proposed new model achieved clearly better prediction accuracies than the baseline models; correlations with subjective ratings were above 0.9. So far, the model is trained on the specific noise types used in the evaluation. Future work will be concerned with overcoming this limitation by training the model on a variety of different noise types in a multi-condition way in order to make it generalize to unknown noise types.



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A biophysical modelling platform of the cochlear nucleus and other auditory circuits: from channels to networks

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Paul B. Manis, Luke Campagnola
Models of the auditory brainstem have been an invaluable tool for testing hypotheses about auditory information processing and for highlighting the most important gaps in the experimental literature. Due to the complexity of the auditory brainstem, and indeed most brain circuits, the dynamic behavior of the system may be difficult to predict without a detailed, biologically realistic computational model. Despite the sensitivity of models to their exact construction and parameters, most prior models of the cochlear nucleus have incorporated only a small subset of the known biological properties. This confounds the interpretation of modelling results and also limits the potential future uses of these models, which require a large effort to develop. To address these issues, we have developed a general purpose, biophysically detailed model of the cochlear nucleus for use both in testing hypotheses about cochlear nucleus function and also as an input to models of downstream auditory nuclei. The model implements conductance-based Hodgkin-Huxley representations of cells using a Python-based interface to the NEURON simulator. Our model incorporates most of the quantitatively characterized intrinsic cell properties, synaptic properties, and connectivity available in the literature, and also aims to reproduce the known response properties of the canonical cochlear nucleus cell types. Although we currently lack the empirical data to completely constrain this model, our intent is for the model to continue to incorporate new experimental results as they become available.



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Auditory Sensory Gating Predicts Acceptable Noise Level

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Sharon E. Miller, Kaci Wathen, Elizabeth Cash, Teresa Pitts, Lynzee Cornell




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What Can Stimulus Polarity and Interphase Gap Tell Us About Auditory Nerve Function in Cochlear-Implant Recipients?

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Michelle L. Hughes, Sangsook Choi, Erin Glickman
Modeling studies suggest that differences in neural responses between polarities might reflect underlying neural health. Specifically, large differences in electrically evoked compound action potential (eCAP) amplitudes and amplitude-growth-function (AGF) slopes between polarities might reflect poorer peripheral neural health, whereas more similar eCAP responses between polarities might reflect better neural health. The interphase gap (IPG) has also been shown to relate to neural survival in animal studies. Specifically, healthy neurons exhibit larger eCAP amplitudes, lower thresholds, and steeper AGF slopes for increasing IPGs. In ears with poorer neural survival, these changes in neural responses are generally less apparent with increasing IPG. The primary goal of this study was to examine the combined effects of stimulus polarity and IPG within and across subjects to determine whether both measures represent similar underlying mechanisms related to neural health. With the exception of one measure in one group of subjects, results showed that polarity and IPG effects were generally not correlated in a systematic or predictable way. This suggests that these two effects might represent somewhat different aspects of neural health, such as differences in site of excitation versus integrative membrane characteristics, for example. Overall, the results from this study suggest that the underlying mechanisms that contribute to polarity and IPG effects in human CI recipients might be difficult to determine from animal models that do not exhibit the same anatomy, variance in etiology, electrode placement, and duration of deafness as humans.



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Single-ended prediction of listening effort using deep neural networks

Publication date: Available online 27 December 2017
Source:Hearing Research
Author(s): Rainer Huber, Melanie Krüger, Bernd T. Meyer
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on methods from automatic speech recognition, specifically on performance measures that quantify the degradation of phoneme posteriorgrams produced by a deep neural net: Noise or artefacts introduced by speech enhancement often result in a temporal smearing of phoneme representations, which is measured by comparison of phoneme vectors. This procedure does not require a priori knowledge about the processed speech, and is therefore single-ended. The proposed model was evaluated using three datasets of noisy speech signals with listening effort ratings obtained from normal hearing and hearing impaired subjects. The prediction quality was compared to several baseline models such as the ITU-T standard P.563 for single-ended speech quality assessment, the American National Standard ANIQUE+ for single-ended speech quality assessment, and a single-ended SNR estimator. In all three datasets, the proposed new model achieved clearly better prediction accuracies than the baseline models; correlations with subjective ratings were above 0.9. So far, the model is trained on the specific noise types used in the evaluation. Future work will be concerned with overcoming this limitation by training the model on a variety of different noise types in a multi-condition way in order to make it generalize to unknown noise types.



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A biophysical modelling platform of the cochlear nucleus and other auditory circuits: from channels to networks

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Paul B. Manis, Luke Campagnola
Models of the auditory brainstem have been an invaluable tool for testing hypotheses about auditory information processing and for highlighting the most important gaps in the experimental literature. Due to the complexity of the auditory brainstem, and indeed most brain circuits, the dynamic behavior of the system may be difficult to predict without a detailed, biologically realistic computational model. Despite the sensitivity of models to their exact construction and parameters, most prior models of the cochlear nucleus have incorporated only a small subset of the known biological properties. This confounds the interpretation of modelling results and also limits the potential future uses of these models, which require a large effort to develop. To address these issues, we have developed a general purpose, biophysically detailed model of the cochlear nucleus for use both in testing hypotheses about cochlear nucleus function and also as an input to models of downstream auditory nuclei. The model implements conductance-based Hodgkin-Huxley representations of cells using a Python-based interface to the NEURON simulator. Our model incorporates most of the quantitatively characterized intrinsic cell properties, synaptic properties, and connectivity available in the literature, and also aims to reproduce the known response properties of the canonical cochlear nucleus cell types. Although we currently lack the empirical data to completely constrain this model, our intent is for the model to continue to incorporate new experimental results as they become available.



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Auditory Sensory Gating Predicts Acceptable Noise Level

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Sharon E. Miller, Kaci Wathen, Elizabeth Cash, Teresa Pitts, Lynzee Cornell




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What Can Stimulus Polarity and Interphase Gap Tell Us About Auditory Nerve Function in Cochlear-Implant Recipients?

Publication date: Available online 28 December 2017
Source:Hearing Research
Author(s): Michelle L. Hughes, Sangsook Choi, Erin Glickman
Modeling studies suggest that differences in neural responses between polarities might reflect underlying neural health. Specifically, large differences in electrically evoked compound action potential (eCAP) amplitudes and amplitude-growth-function (AGF) slopes between polarities might reflect poorer peripheral neural health, whereas more similar eCAP responses between polarities might reflect better neural health. The interphase gap (IPG) has also been shown to relate to neural survival in animal studies. Specifically, healthy neurons exhibit larger eCAP amplitudes, lower thresholds, and steeper AGF slopes for increasing IPGs. In ears with poorer neural survival, these changes in neural responses are generally less apparent with increasing IPG. The primary goal of this study was to examine the combined effects of stimulus polarity and IPG within and across subjects to determine whether both measures represent similar underlying mechanisms related to neural health. With the exception of one measure in one group of subjects, results showed that polarity and IPG effects were generally not correlated in a systematic or predictable way. This suggests that these two effects might represent somewhat different aspects of neural health, such as differences in site of excitation versus integrative membrane characteristics, for example. Overall, the results from this study suggest that the underlying mechanisms that contribute to polarity and IPG effects in human CI recipients might be difficult to determine from animal models that do not exhibit the same anatomy, variance in etiology, electrode placement, and duration of deafness as humans.



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Single-ended prediction of listening effort using deep neural networks

Publication date: Available online 27 December 2017
Source:Hearing Research
Author(s): Rainer Huber, Melanie Krüger, Bernd T. Meyer
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on methods from automatic speech recognition, specifically on performance measures that quantify the degradation of phoneme posteriorgrams produced by a deep neural net: Noise or artefacts introduced by speech enhancement often result in a temporal smearing of phoneme representations, which is measured by comparison of phoneme vectors. This procedure does not require a priori knowledge about the processed speech, and is therefore single-ended. The proposed model was evaluated using three datasets of noisy speech signals with listening effort ratings obtained from normal hearing and hearing impaired subjects. The prediction quality was compared to several baseline models such as the ITU-T standard P.563 for single-ended speech quality assessment, the American National Standard ANIQUE+ for single-ended speech quality assessment, and a single-ended SNR estimator. In all three datasets, the proposed new model achieved clearly better prediction accuracies than the baseline models; correlations with subjective ratings were above 0.9. So far, the model is trained on the specific noise types used in the evaluation. Future work will be concerned with overcoming this limitation by training the model on a variety of different noise types in a multi-condition way in order to make it generalize to unknown noise types.



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Tutorial: Assessment and Analysis of Polysyllables in Young Children

Purpose

Polysyllables, words of 3 or more syllables, represent almost 30% of words used in American English. The purpose of this tutorial is to support speech-language pathologists' (SLPs') assessment and analysis of polysyllables, extending the focus of published assessment tools that focus on sampling and analyzing children's segmental accuracy and/or the presence of phonological error patterns.

Method

This tutorial will guide SLPs through a review of 53 research papers that have explored the use of polysyllables in assessment, including the sampling and analysis procedures used in different research studies. The tutorial will also introduce two new tools to analyze and interpret polysyllable speech samples: the Word-Level Analysis of Polysyllables (WAP; Masso, 2016b) and the Framework of Polysyllable Maturity (Framework; Masso, 2016a).

Results

Connected speech and single-word sampling tasks were used across the 53 studies to elicit polysyllables, and a number of analysis methods were reported, including measures of segmental accuracy and measures of structural and suprasegmental accuracy. The WAP and the Framework extend SLPs' depth of analysis of polysyllables.

Conclusion

SLPs need a range of clinical tools to support the assessment and analysis of polysyllables. A case study comparing different speech analysis methods demonstrates the clinical value in utilizing the WAP and the Framework to interpret children's polysyllable productions in addition to traditional methods of speech sampling and analysis.

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Long-Term Variability of Distortion-Product Otoacoustic Emissions in Infants and Children and Its Relation to Pediatric Ototoxicity Monitoring

Objective: Distortion-product otoacoustic emissions (DPOAEs) provide a rapid, noninvasive measure of outer hair cell damage associated with chemotherapy and are a key component of pediatric ototoxicity monitoring. Serial monitoring of DPOAE levels in reference to baseline measures is one method for detecting ototoxic damage. Interpreting DPOAE findings in this context requires that test–retest differences be considered in relation to normal variability, data which are lacking in children. This study sought to (1) characterize normal test–retest variability in DPOAE level over the long time periods reflective of pediatric chemotherapy regimens for a variety of childhood ages and f2 primary frequencies using common clinical instrumentation and stimulus parameters; (2) develop level-shift reference intervals; and (3) account for any age-related change in DPOAE level or measurement error that may occur as the auditory system undergoes maturational change early in life. Design: Serial DPOAE measurements were obtained in 38 healthy children (25 females and 13 males) with normal hearing and ranging in age from one month to 10 years at the initial (baseline) visit. On average, children were tested 5.2 times over an observation period of 6.5 months. Data were collected in the form of DP grams, in which DPOAE level was measured for f2 ranging from 1.4 to 10 kHz, using a fixed f2/f1 ratio of 1.22 and stimulus level of 65/55 dB SPL for L1/L2. Age effects on DPOAE level and measurement error were estimated using Bayesian regression of the longitudinal data. The raw and model-based distribution of DPOAE test–retest differences were characterized using means and standard error of the measurement for several ages and f2’s. Results: DPOAE test–retest differences for the children in this study are at the high end of those previously observed in adults, as reflected in the associated shift reference intervals. Further, although we observe substantial child-specific variation in DPOAE level, the pattern of age-related changes is highly consistent across children. Across a wide range of f2’s, DPOAE level decreases by 3 to 4 dB from 1 to 13 months of age followed by a more gradual decline of

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Tutorial: Assessment and Analysis of Polysyllables in Young Children

Purpose

Polysyllables, words of 3 or more syllables, represent almost 30% of words used in American English. The purpose of this tutorial is to support speech-language pathologists' (SLPs') assessment and analysis of polysyllables, extending the focus of published assessment tools that focus on sampling and analyzing children's segmental accuracy and/or the presence of phonological error patterns.

Method

This tutorial will guide SLPs through a review of 53 research papers that have explored the use of polysyllables in assessment, including the sampling and analysis procedures used in different research studies. The tutorial will also introduce two new tools to analyze and interpret polysyllable speech samples: the Word-Level Analysis of Polysyllables (WAP; Masso, 2016b) and the Framework of Polysyllable Maturity (Framework; Masso, 2016a).

Results

Connected speech and single-word sampling tasks were used across the 53 studies to elicit polysyllables, and a number of analysis methods were reported, including measures of segmental accuracy and measures of structural and suprasegmental accuracy. The WAP and the Framework extend SLPs' depth of analysis of polysyllables.

Conclusion

SLPs need a range of clinical tools to support the assessment and analysis of polysyllables. A case study comparing different speech analysis methods demonstrates the clinical value in utilizing the WAP and the Framework to interpret children's polysyllable productions in addition to traditional methods of speech sampling and analysis.

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Respiratory and Laryngeal Function in Teachers: Pre- and Postvocal Loading Challenge

Publication date: Available online 27 December 2017
Source:Journal of Voice
Author(s): Nicole E. Herndon, Anusha Sundarrajan, M. Preeti Sivasankar, Jessica E. Huber
PurposeThe purpose of this study was to examine laryngeal and respiratory physiological changes in teachers before and after a 1-hour vocal loading challenge.MethodsTwelve teachers completed ratings of vocal tiredness, vocal effort, and produced a reading passage and monologue before and after a 1-hour vocal loading challenge (reading aloud in noise). Sound pressure level, lung volume parameters, cepstral peak prominence, and low/high spectral ratio were measured.ResultsAfter loading, participants significantly increased vocal effort, vocal tiredness, utterance length, and sound pressure level, and significantly decreased % vital capacity/syllable.ConclusionsFollowing the 1-hour reading-aloud challenge, tiredness and effort increased. However, lung volume did not change and cepstral peak prominence and low/high spectral ratio remained in the normal range. Future studies are needed to understand the effect of vocal use and vocal loading in teachers.



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Tutorial: Assessment and Analysis of Polysyllables in Young Children

Purpose

Polysyllables, words of 3 or more syllables, represent almost 30% of words used in American English. The purpose of this tutorial is to support speech-language pathologists' (SLPs') assessment and analysis of polysyllables, extending the focus of published assessment tools that focus on sampling and analyzing children's segmental accuracy and/or the presence of phonological error patterns.

Method

This tutorial will guide SLPs through a review of 53 research papers that have explored the use of polysyllables in assessment, including the sampling and analysis procedures used in different research studies. The tutorial will also introduce two new tools to analyze and interpret polysyllable speech samples: the Word-Level Analysis of Polysyllables (WAP; Masso, 2016b) and the Framework of Polysyllable Maturity (Framework; Masso, 2016a).

Results

Connected speech and single-word sampling tasks were used across the 53 studies to elicit polysyllables, and a number of analysis methods were reported, including measures of segmental accuracy and measures of structural and suprasegmental accuracy. The WAP and the Framework extend SLPs' depth of analysis of polysyllables.

Conclusion

SLPs need a range of clinical tools to support the assessment and analysis of polysyllables. A case study comparing different speech analysis methods demonstrates the clinical value in utilizing the WAP and the Framework to interpret children's polysyllable productions in addition to traditional methods of speech sampling and analysis.

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