Speech enhancement based on a sinusoidal model.
Speech enhancement based on a sinusoidal model.
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基于正弦模型的语音增强。
DOI：
10.1044/jshr.3702.449
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
Kates,JM
中科院分区：
文献类型：
--
作者：
Kates,JM
正弦建模是一种新的语音信号表示方法。在这种方法中，信号被分成重叠的段，为每个段计算傅立叶变换，并识别一组所需的谱峰。然后使用具有所选峰值的频率、振幅和相位的正弦曲线重新合成语音，其中丢弃剩余的频谱信息。使用有限数量的正弦曲线在多讲话者语音混串音的背景中再现语音导致具有改进的信噪比和增强的频谱对比度的语音信号。较强的频谱分量（假定主要是所需语音）被再现，而较弱的分量（假定主要是背景噪声）则不被再现。为了测试这种处理方法作为噪声抑制技术的有效性，辅音识别和感知的语音清晰度被确定在安静和噪声中为一组具有正常听力的受试者作为用于表示孤立的语音标记的正弦曲线的数量是不同的。结果表明，减少用于表示语音的正弦曲线的数量会导致在安静和噪声中的辅音识别和感知可懂度降低，并表明听力障碍的听众也会出现类似的结果。
Sinusoidal modeling is a new procedure for representing the speech signal. In this approach, the signal is divided into overlapping segments, the Fourier transform computed for each segment, and a set of desired spectral peaks is identified. The speech is then resynthesized using sinusoids that have the frequency, amplitude, and phase of the selected peaks, with the remaining spectral information being discarded. Using a limited number of sinusoids to reproduce speech in a background of multi-talker speech babble results in a speech signal that has an improved signal-to-noise ratio and enhanced spectral contrast. The more intense spectral components, assumed to be primarily the desired speech, are reproduced, whereas the less intense components, assumed to be primarily background noise, are not. To test the effectiveness of this processing approach as a noise suppression technique, both consonant recognition and perceived speech intelligibility were determined in quiet and in noise for a group of subjects with normal hearing as the number of sinusoids used to represent isolated speech tokens was varied. The results show that reducing the number of sinusoids used to represent the speech causes reduced consonant recognition and perceived intelligibility both in quiet and in noise, and suggests that similar results would be expected for listeners with hearing impairments.
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DOI：
10.1109/icassp.1985.1168380
发表时间：
1985-04
期刊：
ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing
影响因子：
--
作者：
T. Quatieri;R. McAulay
通讯作者：
T. Quatieri;R. McAulay
听力障碍受试者的元音识别和元音掩蔽模式。
DOI：
10.1121/1.394511
发表时间：
1987
期刊：
The Journal of the Acoustical Society of America
影响因子：
--
作者：
VanTasell,DJ;Fabry,DA;Thibodeau,LM
通讯作者：
Thibodeau,LM
塞音的识别和区分：共振峰与谱峰
DOI：
--
发表时间：
1992
期刊：
影响因子：
--
作者：
C. Turner;A. Horwitz;P. Souza
通讯作者：
P. Souza
使用集成数字信号处理器进行语音增强的“最佳”滤波器
DOI：
--
发表时间：
1982
期刊：
IEEE International Conference on Acoustics, Speech, and Signal Processing
影响因子：
--
作者：
G. Doblinger
通讯作者：
G. Doblinger
DOI：
--
发表时间：
1977
期刊：
影响因子：
--
作者：
Yvonne M. Perlmutter;Louis B. Braids;Frazier Ronald H;Alan;V. Oppenheim
通讯作者：
V. Oppenheim