Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS

Poluboina Venkateswarlu; Aparna Pulikala; Arivudai Nambi Pitchaimuthu

doi:10.1007/978-981-19-2631-0_54

Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS

Poluboina Venkateswarlu, Aparna Pulikala, Arivudai Nambi Pitchaimuthu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

People with cochlear implants accomplish good speech recognition scores in quiet. Temporal envelope (ENV) is encoded primarily in cochlear implant (CI), and it is sufficient for recognizing speech in quiet. However, temporal fine structures (TFS) are needed for better recognition of speech in noise. Some fine structure coding strategies tried to modulate temporal envelope with TFS. In such coding strategies, FS4 is one that tried to encode fine structures up 950 Hz. In this study, the performance of FS4 with speech recognition in noise was investigated by using acoustic simulation. The speech intelligibility of this study was conducted on five normal-hearing (NH) persons. This performance was compared with 16 channel sinewave vocoder and with the Full band TFS condition. The variance of these three conditions was analyzed using the SNR 50. These results indicate that the fine structure (FS4) coding (up to 1078 Hz Hz) has improved speech recognition in noise compared to the sinewave vocoder.

Original language	English
Title of host publication	Advances in VLSI, Communication, and Signal Processing - Select Proceedings of VCAS 2021
Editors	Amit Dhawan, R. A. Mishra, Karm Veer Arya, Carlos Ruiz Zamarreño
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	627-634
Number of pages	8
ISBN (Print)	9789811926303
DOIs	https://doi.org/10.1007/978-981-19-2631-0_54
Publication status	Published - 2022
Event	4th International Conference on VLSI, Communication and Signal processing, VCAS 2021 - Prayagraj, India Duration: 24-09-2021 → 26-09-2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	911
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	4th International Conference on VLSI, Communication and Signal processing, VCAS 2021
Country/Territory	India
City	Prayagraj
Period	24-09-21 → 26-09-21

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-19-2631-0_54

Cite this

Venkateswarlu, P., Pulikala, A., & Pitchaimuthu, A. N. (2022). Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS. In A. Dhawan, R. A. Mishra, K. V. Arya, & C. R. Zamarreño (Eds.), Advances in VLSI, Communication, and Signal Processing - Select Proceedings of VCAS 2021 (pp. 627-634). (Lecture Notes in Electrical Engineering; Vol. 911). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2631-0_54

Venkateswarlu, Poluboina ; Pulikala, Aparna ; Pitchaimuthu, Arivudai Nambi. / Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS. Advances in VLSI, Communication, and Signal Processing - Select Proceedings of VCAS 2021. editor / Amit Dhawan ; R. A. Mishra ; Karm Veer Arya ; Carlos Ruiz Zamarreño. Springer Science and Business Media Deutschland GmbH, 2022. pp. 627-634 (Lecture Notes in Electrical Engineering).

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abstract = "People with cochlear implants accomplish good speech recognition scores in quiet. Temporal envelope (ENV) is encoded primarily in cochlear implant (CI), and it is sufficient for recognizing speech in quiet. However, temporal fine structures (TFS) are needed for better recognition of speech in noise. Some fine structure coding strategies tried to modulate temporal envelope with TFS. In such coding strategies, FS4 is one that tried to encode fine structures up 950 Hz. In this study, the performance of FS4 with speech recognition in noise was investigated by using acoustic simulation. The speech intelligibility of this study was conducted on five normal-hearing (NH) persons. This performance was compared with 16 channel sinewave vocoder and with the Full band TFS condition. The variance of these three conditions was analyzed using the SNR 50. These results indicate that the fine structure (FS4) coding (up to 1078 Hz Hz) has improved speech recognition in noise compared to the sinewave vocoder.",

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Venkateswarlu, P, Pulikala, A & Pitchaimuthu, AN 2022, Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS. in A Dhawan, RA Mishra, KV Arya & CR Zamarreño (eds), Advances in VLSI, Communication, and Signal Processing - Select Proceedings of VCAS 2021. Lecture Notes in Electrical Engineering, vol. 911, Springer Science and Business Media Deutschland GmbH, pp. 627-634, 4th International Conference on VLSI, Communication and Signal processing, VCAS 2021, Prayagraj, India, 24-09-21. https://doi.org/10.1007/978-981-19-2631-0_54

Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS. / Venkateswarlu, Poluboina; Pulikala, Aparna; Pitchaimuthu, Arivudai Nambi.

Advances in VLSI, Communication, and Signal Processing - Select Proceedings of VCAS 2021. ed. / Amit Dhawan; R. A. Mishra; Karm Veer Arya; Carlos Ruiz Zamarreño. Springer Science and Business Media Deutschland GmbH, 2022. p. 627-634 (Lecture Notes in Electrical Engineering; Vol. 911).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Venkateswarlu P, Pulikala A, Pitchaimuthu AN. Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS. In Dhawan A, Mishra RA, Arya KV, Zamarreño CR, editors, Advances in VLSI, Communication, and Signal Processing - Select Proceedings of VCAS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 627-634. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-2631-0_54