以麥克風陣列與噪音消除為前處理的人工電子耳雙耳聽模擬在噪音環境下對中文語音辨識率之影響

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以麥克風陣列與噪音消除為前處理的人工電子耳雙耳聽模擬在噪音環境下對中文語音辨識率之影響

Pre-processing with Microphone Array and Noise Reduction for Electroacoustic Stimulation of Cochlear Implant Simulation on Chinese Speech Recognition in Noise

蔡偉林 , Masters　　Advisor：吳炤民　　

繁體中文

助聽器；人工電子耳；進階結合編碼策略；麥克風陣列；訊噪比；噪音消除； Microphone Array ； ACE ； Hearing Aid ； Cochlear Implant ； SNR ； Noise Reduction

Abstract │ Reference (51) │ Altmetrics

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The purpose of this study is to investigate the pre-processing with microphone array and noise reduction for electroacoustic stimulation of cochlear implant (CI) simulation on Chinese speech recognition in noise. We used advanced combination encoding as the speech processing strategy to simulate the cochlear implant and a low-pass filter with the cut-off frequency of 500 Hz for the hearing aid (HA). Four pre-processors (two different microphone arrays, Mic. and these two microphone arrays plus two noise reduction strategies, Mic.+NR) were implemented in this study. There were 10 adults (9 males and one female) with normal hearing participating in the experiment. We used disyllabic words and sentences combined with speech-shaped noise (SSN) as test materials (signal-to-noise ratio, SNR of -5dB and 0dB) in all experiments. All the subjects attended two experiments: one is CI only and the other, CI combined with hearing aid (CI+HA). In the CI only experiment, average speech recognition rates of the test materials (word and sentence) with pre-processing (word: 50%, sentence: 42%) and those without pre-processing (word: 17%, sentence: 22%) were significantly different (p<0.001). Additionally, there were significant difference (p < 0.001) between the average speech recognition rates of the test materials with pre-processing (word: 93%, sentences: 97%) and those without pre-processing (word: 61%, sentences: 79%) in the CI+HA experiment.
The average speech recognition rates between CI+HA and CI only showed significant differences (p <0.001) between CI+HA and CI only irrespective of the test materials and the pre-processing strategies. However, average speech recognition rates between pre-processors with microphone arrays and microphone arrays plus noise reduction strategies showed no significant differences (p > 0.05), no matter under the experiment of CI only (Mic.: 47%, Mic.+NR: 44%) or CI combined with HA (Mic.: 95%, Mic.+NR: 95%). In summary, our results implied that there are significant differences between the speech recognition rates of the test materials with pre-processing and those without pre-processing in both experiments. However, our data also showed that noise reduction strategies are used to improve listening comfort for the subjects instead of improving speech recognition rates.

Reference ( 51 ) 〈TOP〉

Bhattacharya, A. and Zeng, F.-G. (2007). "Companding to improve cochlear-implant speech recognition in speech-shaped noise," Journal of the Acoustical Society of America 122(2), 1079-1089.
連結：
Ching, T. Y. C., Incerti,P., and Hill, M. (2004). "Binaural Benefits for Adults Who Use Hearing Aids and Cochlear Implants in Opposite Ears," Ear & Hearing 25, 9-21.
連結：
Chung, K. and Zeng, F.-G. (2009). "Using hearing aid adaptive directional microphones to enhance cochlear implant performance," Hearing Research 250(1-2), 27-37.
連結：
Chung, K., Zeng, F.-G., and Acker, K. N. (2006). "Effects of directional microphone and adaptive multichannel noise reduction algorithm on cochlear implant performance," Journal of the Acoustical Society of America 120(4), 2216-2227.
連結：
Chung, K., Zeng, F.-G., and Waltzman, S. (2004). "Using hearing aid directional microphones and noise reduction algorithms to enhance cochlear implant performance," Acoustical Society of America 5(2), 56-61.
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