Literature DB >> 32640180

It's About Time: Minimizing Hardware and Software Latencies in Speech Research With Real-Time Auditory Feedback.

Kwang S Kim1, Hantao Wang1, Ludo Max1,2.   

Abstract

Purpose Various aspects of speech production related to auditory-motor integration and learning have been examined through auditory feedback perturbation paradigms in which participants' acoustic speech output is experimentally altered and played back via earphones/headphones "in real time." Scientific rigor requires high precision in determining and reporting the involved hardware and software latencies. Many reports in the literature, however, are not consistent with the minimum achievable latency for a given experimental setup. Here, we focus specifically on this methodological issue associated with implementing real-time auditory feedback perturbations, and we offer concrete suggestions for increased reproducibility in this particular line of work. Method Hardware and software latencies as well as total feedback loop latency were measured for formant perturbation studies with the Audapter software. Measurements were conducted for various audio interfaces, desktop and laptop computers, and audio drivers. An approach for lowering Audapter's software latency through nondefault parameter specification was also tested. Results Oft-overlooked hardware-specific latencies were not negligible for some of the tested audio interfaces (adding up to 15 ms). Total feedback loop latencies (including both hardware and software latency) were also generally larger than claimed in the literature. Nondefault parameter values can improve Audapter's own processing latency without negative impact on formant tracking. Conclusions Audio interface selection and software parameter optimization substantially affect total feedback loop latency. Thus, the actual total latency (hardware plus software) needs to be correctly measured and described in all published reports. Future speech research with "real-time" auditory feedback perturbations should increase scientific rigor by minimizing this latency.

Entities:  

Mesh:

Year:  2020        PMID: 32640180      PMCID: PMC7872729          DOI: 10.1044/2020_JSLHR-19-00419

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  34 in total

1.  Auditory prediction during speaking and listening.

Authors:  Marc Sato; Douglas M Shiller
Journal:  Brain Lang       Date:  2018-05-07       Impact factor: 2.381

2.  Integration of auditory and somatosensory error signals in the neural control of speech movements.

Authors:  Yongqiang Feng; Vincent L Gracco; Ludo Max
Journal:  J Neurophysiol       Date:  2011-05-11       Impact factor: 2.714

3.  Stuttering adults' lack of pre-speech auditory modulation normalizes when speaking with delayed auditory feedback.

Authors:  Ayoub Daliri; Ludo Max
Journal:  Cortex       Date:  2017-11-13       Impact factor: 4.027

4.  Sensorimotor adaptation of speech I: Compensation and adaptation.

Authors:  John F Houde; Michael I Jordan
Journal:  J Speech Lang Hear Res       Date:  2002-04       Impact factor: 2.297

5.  Evidence for Auditory-Motor Impairment in Individuals With Hyperfunctional Voice Disorders.

Authors:  Cara E Stepp; Rosemary A Lester-Smith; Defne Abur; Ayoub Daliri; J Pieter Noordzij; Ashling A Lupiani
Journal:  J Speech Lang Hear Res       Date:  2017-06-10       Impact factor: 2.297

6.  Auditory-motor adaptation is reduced in adults who stutter but not in children who stutter.

Authors:  Ayoub Daliri; Elizabeth A Wieland; Shanqing Cai; Frank H Guenther; Soo-Eun Chang
Journal:  Dev Sci       Date:  2017-03-02

7.  Sensorimotor control of vocal pitch and formant frequencies in Parkinson's disease.

Authors:  Fatemeh Mollaei; Douglas M Shiller; Shari R Baum; Vincent L Gracco
Journal:  Brain Res       Date:  2016-06-08       Impact factor: 3.252

8.  Vocalization-induced enhancement of the auditory cortex responsiveness during voice F0 feedback perturbation.

Authors:  Roozbeh Behroozmand; Laura Karvelis; Hanjun Liu; Charles R Larson
Journal:  Clin Neurophysiol       Date:  2009-06-10       Impact factor: 3.708

9.  An Investigation of Compensation and Adaptation to Auditory Perturbations in Individuals With Acquired Apraxia of Speech.

Authors:  Kirrie J Ballard; Mark Halaki; Paul Sowman; Alise Kha; Ayoub Daliri; Donald A Robin; Jason A Tourville; Frank H Guenther
Journal:  Front Hum Neurosci       Date:  2018-12-19       Impact factor: 3.169

10.  Sensorimotor adaptation of voice fundamental frequency in Parkinson's disease.

Authors:  Defne Abur; Rosemary A Lester-Smith; Ayoub Daliri; Ashling A Lupiani; Frank H Guenther; Cara E Stepp
Journal:  PLoS One       Date:  2018-01-26       Impact factor: 3.240

View more
  16 in total

1.  Contributions of Auditory and Somatosensory Feedback to Vocal Motor Control.

Authors:  Dante J Smith; Cara Stepp; Frank H Guenther; Elaine Kearney
Journal:  J Speech Lang Hear Res       Date:  2020-06-30       Impact factor: 2.297

2.  Differential Effects of Cerebellar Degeneration on Feedforward versus Feedback Control across Speech and Reaching Movements.

Authors:  Benjamin Parrell; Hyosub E Kim; Assaf Breska; Arohi Saxena; Richard Ivry
Journal:  J Neurosci       Date:  2021-08-26       Impact factor: 6.167

3.  Web-based language production experiments: Semantic interference assessment is robust for spoken and typed response modalities.

Authors:  Kirsten Stark; Cornelia van Scherpenberg; Hellmuth Obrig; Rasha Abdel Rahman
Journal:  Behav Res Methods       Date:  2022-04-04

4.  Individual sensorimotor adaptation characteristics are independent across orofacial speech movements and limb reaching movements.

Authors:  Nick M Kitchen; Kwang S Kim; Prince Z Wang; Robert J Hermosillo; Ludo Max
Journal:  J Neurophysiol       Date:  2022-08-10       Impact factor: 2.974

5.  Responses to Auditory Feedback Manipulations in Speech May Be Affected by Previous Exposure to Auditory Errors.

Authors:  Caroline A Niziolek; Benjamin Parrell
Journal:  J Speech Lang Hear Res       Date:  2021-03-11       Impact factor: 2.297

6.  Speech auditory-motor adaptation to formant-shifted feedback lacks an explicit component: Reduced adaptation in adults who stutter reflects limitations in implicit sensorimotor learning.

Authors:  Kwang S Kim; Ludo Max
Journal:  Eur J Neurosci       Date:  2021-04-10       Impact factor: 3.386

7.  Auditory Feedback Is Used for Adaptation and Compensation in Speech Timing.

Authors:  Robin Karlin; Chris Naber; Benjamin Parrell
Journal:  J Speech Lang Hear Res       Date:  2021-07-26       Impact factor: 2.297

8.  Auditory-Motor Control of Fundamental Frequency in Vocal Vibrato.

Authors:  Rosemary A Lester-Smith; Jason H Kim; Allison Hilger; Chun-Liang Chan; Charles R Larson
Journal:  J Voice       Date:  2021-01-16       Impact factor: 2.300

9.  Dissociated Development of Speech and Limb Sensorimotor Learning in Stuttering: Speech Auditory-motor Learning is Impaired in Both Children and Adults Who Stutter.

Authors:  Kwang S Kim; Ayoub Daliri; J Randall Flanagan; Ludo Max
Journal:  Neuroscience       Date:  2020-10-20       Impact factor: 3.590

10.  A Computational Model for Estimating the Speech Motor System's Sensitivity to Auditory Prediction Errors.

Authors:  Ayoub Daliri
Journal:  J Speech Lang Hear Res       Date:  2021-05-27       Impact factor: 2.297

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.