基于最大后验相位估计的多带谱减语音增强算法

李真; 吴文锦; 张勤; 任慧

doi:10.11999/JEIT161381

基于最大后验相位估计的多带谱减语音增强算法

doi: 10.11999/JEIT161381

基金项目:

十二五国家科技支撑计划重大项目(2012BAH38F00)

计量
- 文章访问数: 1274
- HTML全文浏览量: 185
- PDF下载量: 276
- 被引次数: 0
出版历程
- 收稿日期: 2016-12-21
- 修回日期: 2017-04-25
- 刊出日期: 2017-09-19

Multi-band Spectral Subtraction of Speech Enhancement Based on Maximum Posteriori Phase Estimation

Funds:

The National Science and Technology Planning?Project (2012BAH38F00)

摘要

摘要: 传统语音增强算法中因为谱减法算法简单易于实现而得到广泛研究，谱减法的原理是将带噪语音幅度与估计的噪声幅度进行相减，并叠加带噪语音相位，进而重构增强语音谱。该方法在低信噪比下因为没有进行相位估计，会存在较大的估计误差，并且因为对噪声估计的不准确，会产生音乐噪声。基于谱减法的缺点该文提出一种基于最大后验相位估计的多带谱减法，其中多带谱减法可减少音乐噪声的影响，最大后验方法估计纯净语音相位，可以减少在低信噪比时的估计误差。实验结果表明该方法在低信噪比时取得了较好的增强效果。
- 语音增强 /
- 最大后验相位估计 /
- 多带谱减 /
- 低信噪比
Abstract: The spectral subtraction speech enhancement is extensively used due to its simplicity and easy to implement. The principle of this method is to subtract the estimated magnitude of the noise from the magnitude of the noisy signal, but the phase of the noisy signal is unchanged. This conventional method produces the estimating error because it exploits the noisy phase, especially in low SNR, and it produces musical noise because of the inaccuracy of the noise estimation. This paper proposes a multi-band spectral subtraction algorithm based on maximum posteriori phase estimation. Experimental results show that the proposed method can get better performance than the conventional method especially in low SNR.
- Speech enhancement /
- Maximum posteriori phase estimation /
- Multi-band spectral subtraction /
- Low SNR

HTML全文

参考文献(14)

WJCICKI K, MILACIC M, STARK A, et al. Exploiting conjugate symmetry of the short-time fourier spectrum for speech enhancement[J]. IEEE Signal Processing Letters, 2008, 15: 461-464. doi: 10.1109/LSP.2008.923579.

WANG Jiaching, LIN Changhong, WANG Shufan, et al. Compressive Sensing-based speech enhancement[J]. IEEE Transactions on Audio, Speech and Language Processing, 2016, 24(11): 2122-2131. doi: 10.1109/TASLP.2016.2598306.

MOWLAEE P and KULMER J. Harmonic phase estimation in single-channel speech enhancement using phase decomposition and SNR information[J]. IEEE Transactions on Audio, Speech and Language Processing, 2015, 23(9): 1521-1532. doi: 10.1109/TASLP.2015.2439038.

KULMER J and MOWLAEE P. Phase estimation in single channel speech enhancement using phase decomposition[J]. IEEE Signal Processing Letters, 2015, 22(5): 598-602. doi: 10.1109/LSP.2014.2365040.

BOLLS F. Suppression of acoustic noise in speech using spectral subtraction [J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1979, 27(2): 113-120. doi: 10.1109/TASSP.1979.1163209.

WIENER N. The Extrapolation, Interpolation, and Smoothing of Stationary Time Series With Engineering Applications[M]. Cambridge: Massachusetts, MIT, 1949: 81-101.

EPHRAIM Y and MALAH D. Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984, 32(6): 1109-1121. doi: 10.1109/ TASSP.1984.1164453.

KAMATH S and LOIZOU P C. A multi-band spectral subtraction method for enhancing speech corrupted by colored noise[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, USA, 2002: IV-4164-IV-4164.

VARY P. Noise Suppression by spectral magnitude estimation: Mechanism and theoretical limits[J]. Signal Processing, 1985, 8(4): 387-400. doi: 10.1016/0165-1684(85) 90002-7.

SAMUI S. Improved single channel phase-aware speech enhancement technique for low signal-to-noise ration signal[J]. IET Signal Processing, 2016, 10(6): 641-650. doi: 10.1049/ iet-spr.2015.0182.

KULMER J and MOWLAEE P. Harmonic phase estimation in single-channel speech enhancement using Von Mises distribution and prior SNR[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, 2015: 5063-5067.

KAY S M. Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory[M]. New Jersey: Prentice Hall PTR, 1993: 164-172.

TAAL C H, HENDRIKS R C, HEUSDENS R, et al. An algorithm for intelligibility prediction of time-frequency weighted noisy speech[J]. IEEE Transactions on Audio, Speech and Languages, 2011, 19(7): 2125-2136. doi: 10.1109/ TASL.2011.2114881.

GAICH A and MOWLAEE P. On speech quality estimation of phase-aware single-channel speech enhancement[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), Brisbane, Australia, 2015: 216-220.

施引文献

资源附件(0)

访问统计