Band importance for speech-in-speech recognition.

Band importance for speech-in-speech recognition.
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DOI:
10.1121/10.0005762
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发表时间:
2021-08
影响因子:
1
通讯作者:
Bosen A
Bosen A
中科院分区:
其他
文献类型:
--
作者:
Buss E;Bosen A

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预测屏蔽语音感知通常依赖于支持识别的线索的频谱分布的估计。当前用于估计噪声中语音的频带重要性的方法使用过滤的刺激。这些方法不适合语音中的语音,因为过滤可以修改影响听觉流分离的刺激特征。这里,通过量化全频谱语音的语音识别精度与听觉滤波器组输出处的通道的目标掩蔽比之间的关系来估计频带重要性。初步结果为这种方法提供了支持,并表明低于 2kHz 的频率可能比语音形状噪声对两个说话者语音中的语音识别贡献更大。
Predicting masked speech perception typically relies on estimates of the spectral distribution of cues supporting recognition. Current methods for estimating band importance for speech-in-noise use filtered stimuli. These methods are not appropriate for speech-in-speech because filtering can modify stimulus features affecting auditory stream segregation. Here, band importance is estimated by quantifying the relationship between speech recognition accuracy for full-spectrum speech and the target-to-masker ratio by channel at the output of an auditory filterbank. Preliminary results provide support for this approach and indicate that frequencies below 2 kHz may contribute more to speech recognition in two-talker speech than in speech-shaped noise.
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发表时间: 2003-11-01
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DOI: 10.1097/aud.0000000000000951
发表时间: 2021
期刊: Ear and hearing
影响因子: 3.7
作者:
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