联合频谱和时域增强以改善人工耳蜗语音感知。
Combined spectral and temporal enhancement to improve cochlear-implant speech perception.
机构信息
Center for Hearing Research, Department of Biomedical Engineering, University of California, Irvine, California 92697, USA.
出版信息
J Acoust Soc Am. 2011 Nov;130(5):2951-60. doi: 10.1121/1.3641401.
The present study examined the effect of combined spectral and temporal enhancement on speech recognition by cochlear-implant (CI) users in quiet and in noise. The spectral enhancement was achieved by expanding the short-term Fourier amplitudes in the input signal. Additionally, a variation of the Transient Emphasis Spectral Maxima (TESM) strategy was applied to enhance the short-duration consonant cues that are otherwise suppressed when processed with spectral expansion. Nine CI users were tested on phoneme recognition tasks and ten CI users were tested on sentence recognition tasks both in quiet and in steady, speech-spectrum-shaped noise. Vowel and consonant recognition in noise were significantly improved with spectral expansion combined with TESM. Sentence recognition improved with both spectral expansion and spectral expansion combined with TESM. The amount of improvement varied with individual CI users. Overall the present results suggest that customized processing is needed to optimize performance according to not only individual users but also listening conditions.
本研究考察了联合频谱和时域增强对安静和噪声环境下人工耳蜗使用者言语识别的影响。频谱增强是通过扩展输入信号的短时傅里叶幅度来实现的。此外，还应用了 Transient Emphasis Spectral Maxima（TESM）策略的变体来增强短持续时间的辅音线索，否则在进行频谱扩展处理时会被抑制。9 名人工耳蜗使用者在安静和稳定的语音频谱噪声中进行了音位识别任务测试，10 名人工耳蜗使用者进行了句子识别任务测试。与频谱扩展相比，结合 TESM 的频谱扩展显著提高了元音和辅音在噪声中的识别能力。句子识别也随着频谱扩展和频谱扩展结合 TESM 而得到改善。改进的程度因人而异。总的来说，目前的结果表明，需要根据个体使用者和听力条件进行定制处理，以优化性能。
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