Browsing by Author "Pitchaimuthu, A."
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Item Cochlear Acoustic Model that Improves the Speech Perception in Noise by Encoding TFS(Springer Science and Business Media Deutschland GmbH, 2022) Poluboina, V.; Pulikala, A.; Pitchaimuthu, A.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. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Corrigendum to “Contribution of frequency compressed temporal fine structure cues to the speech recognition in noise: An implication in cochlear implant signal processing†[Applied. Acoustics. Volume 189 28 February (2022), 108616] (Applied Acoustics (2022) 189, (S0003682X21007106), (10.1016/j.apacoust.2021.108616))(Elsevier Ltd, 2022) Poluboina, V.; Pulikala, A.; Pitchaimuthu, A.The authors regret . The authors would like to for any inconvenience caused. © 2021 Elsevier Ltd