paper-with-me

홈 › Papers

The effect of speech and noise levels on the quality perceived by cochlear implant and normal hearing listeners

2021-03-03 · Sara Akbarzadeh, Sungmin Lee, Fei Chen, Chin-Tuan Tan

Electrical hearing by cochlear implants (CIs) may be fundamentally different from acoustic hearing by normal-hearing (NH) listeners, presumably showing unequal speech quality perception in various noise environments. Noise reduction (NR) algorithms used in CI reduce the noise in favor of signal-to-noise ratio (SNR), regardless of plausible accompanying distortions that may degrade the speech quality perception. To gain better understanding of CI speech quality perception, the present work aimed investigating speech quality perception in a diverse noise conditions, including factors of speech/noise levels, type of noise, and distortions caused by NR models. Fifteen NH and seven CI subjects participated in this study. Speech sentences were set to two different levels (65 and 75 dB SPL). Two types of noise (Cafeteria and Babble) at three levels (55, 65, and 75 dB SPL) were used. Sentences were processed using two NR algorithms to investigate the perceptual sensitivity of CI and NH listeners to the distortion. All sentences processed with the combinations of these sets were presented to CI and NH listeners, and they were asked to rate the sound quality of speech as they perceived. The effect of each factor on the perceived speech quality was investigated based on the group averaged quality rated by CI and NH listeners. Consistent with previous studies, CI listeners were not as sensitive as NH to the distortion made by NR algorithms. Statistical analysis showed that the speech level has significant effect on quality perception. At the same SNR, the quality of 65 dB speech was rated higher than that of 75 dB for CI users, but vice versa for NH listeners. Therefore, the present study showed that the perceived speech quality patterns were different between CI and NH listeners in terms of their sensitivity to distortion and speech level in complex listening environment.

📄 PDF Abstract BibTeX arXiv:2103.02421

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets

2022-06-16 · Jean-Marc Valin, Ritwik Giri, Shrikant Venkataramani, Umut Isik 외

In real life, room effect, also known as room reverberation, and the present background noise degrade the quality of speech. Recently, deep learning-based speech enhancement approaches have shown a lot of promise and sur…

DenoisingSpeech Enhancement

Investigation of Phase Distortion on Perceived Speech Quality for Hearing-impaired Listeners

2020-07-29

Phase serves as a critical component of speech that influences the quality and intelligibility. Current speech enhancement algorithms are beginning to address phase distortions, but the algorithms focus on normal-hearing…

Speech Enhancement

Analysis of XLS-R for Speech Quality Assessment

2023-08-23 · Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme

In online conferencing applications, estimating the perceived quality of an audio signal is crucial to ensure high quality of experience for the end user. The most reliable way to assess the quality of a speech signal is…

Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System

2026-05-02 · Qurat Ul Ain, Mohamed Amine Chatti, William Kana Tsoplefack, Rawaa Alatrash 외 arxiv

Educational recommender systems (ERSs) are becoming increasingly important in enhancing educational outcomes and personalizing learning experiences by providing recommendations of personalized resources and activities to…

Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise

2022-03-20 · Tuomo Raitio, Petko Petkov, Jiangchuan Li, Muhammed Shifas 외

We present a neural text-to-speech (TTS) method that models natural vocal effort variation to improve the intelligibility of synthetic speech in the presence of noise. The method consists of first measuring the spectral …

text-to-speechText to Speech