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功率谱孤立因子构建的音乐噪声抑制算法 被引量：1

Musical noise suppression using isolated factor of power spectrum
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摘要 大部分语音增强算法都会产生一定程度的音乐噪声,音乐噪声的存在不仅影响语音可懂度,还可造成听觉疲劳。本文提出一种基于音乐噪声功率谱孤立因子的音乐噪声抑制算法。基于表征功率谱孤立程度的孤立因子而构建的音乐噪声抑制算法可以对音乐噪声进行准确识别及有效抑制。该算法具有简单、稳定、自适应的特点,且适用于所有通过估算增益因子进而修正幅度谱的语音增强算法。文章最后给出了在功率谱减法(SS)基础上加入该算法的实验对比结果,包括PESQ得分及语谱图对比。 Most speech enhancement algorithms based on weighting gains may generate annoying musical noise in a certain degree. In this paper, we propose a correction factor for modifying the weighting gains, which was based on the isolated factor. The isolated factor indicates the isolated degree of the local power to its neighbouring bins. The smaller isolated factor indicates the greater degree of the local power relative to its neighbouring bins. The proposed algorithm could distinguish musical noise correctly and suppress it efficiently, and could be applied to all the kinds of algorithms that basing on the weighing spectral gains. PESQ test and SegSNR improvement experiment support the conclusion.
作者 曹智栋 李双田 未建英
机构地区 中国科学院声学研究所
出处 《信号处理》 CSCD 北大核心 2013年第4期474-479,共6页 Journal of Signal Processing
关键词 语音增强 音乐噪声 孤立因子 增益因子 Speech enhancement Musical noise Isolated factor Gain factor
分类号 TN912.35 [电子电信—通信与信息系统]
  • 相关文献

参考文献11

  • 1Benesty J, Makino S, Chen J. Speech enhancement[ M ]. New York : Springer,2005 : 25-46.
  • 2S Boll, Suppression of acoustic noise i,, speech using spec- lral subtraction[J] ,Acoustics, Speech and Signal Process- ing, [EEE Transactions, 1979, 27:113-120.
  • 3Cao Zhido,lg, Li Shuangtian. A new gain model for speech enhanvement [ C]. Signal Processing ( ICP), 2010 IEEE 10th International Conferellce o11 24-28 Oct(IEI:F) ,2010: 490- 493.
  • 4Yi Hu, Philipos C. Loizou. A Subspace Approach for En-hancing Speech Comtpted by Colored Noise [ J ]. Signal Processing Letters (IEEF) , 2002,9:204-206.
  • 5Uemura, Y Musical noise generation analysis for noise re- duction methods based on spectral subtraction and MMSE STSA estimation [ C ]. Acoustics, Speech and Signal Pro- eessing, 2009. IEEE,2009:4433-4436.
  • 6Ephraim Y, Malah D. Speech enhancement using a mini- mum mean-square en'or short-time spectral amplitude es- timator[ J]. 1EEE Trails. on Acoustics, Speech and Sig- nal Processing, 1984, 32(6) : 1109-1121.
  • 7Capp60. Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor[J]. IEEE Trans. on Speech and Audio Processing, 1997, 2 ( 3 ) : 345-349.
  • 8Zenton Goh,Kah-Chye Tan, B T G Tan. Post-processing Method for Suppressing Musical Noise Generated by Spectral Subtraction [ J ]. IEEE Trans on Speech and Audio Processing. 1998, 6:287-292.
  • 9Thomas Esch, Peier Vary. Efficient musical noise suppres- sion for speech enhancement system [ C ]. Acoustics, Speech and Signal Processing (IEEE) , 2009:4409-4412.
  • 10徐耀华,郭英,范海宁.语音增强：使用burg谱先验信噪比估计消除“音乐噪声”[J].信号处理,2009,25(1):141-146. 被引量：11

二级参考文献23

  • 1陈俊,孙洪,董航.基于MMSE先验信噪比估计的语音增强[J].武汉大学学报（理学版）,2005,51(5):638-642. 被引量：6
  • 2蔡斌.语音增强方法研究及其应用.空军工程大学硕士论文.2004.
  • 3Ephraim Y, Malah D. Speech Enhancement Using a Minimum Mean-square Error Short-Time Spectral Amplitude Estimator [ J ]. IEEE trans. Acoust Speech Signal Processing, 1984,32(6) :1109-1121.
  • 4Ephraim Y, Malah D. Speech Enhancement Using a Minimum Mean-square Error Log-spectral Amplitude Estimator [J]. IEEE Trans Acoust Speech Signal Processing, 1985, 33(2) :443-445.
  • 5Cappe Oliver. Elimination of the Musical Noise Phenomenon with the Ephraim and Malah Noise suppressor [ J ]. IEEE Vol. 2 Trans. on Speech And Audio Processing. 1994,2 ( 3 ) : 345-349.
  • 6Israel Cohen. Speech Enhancement Using a Noncausal A Priori SNR Estimator, IEEE Signal Processing Letters, 2004,11 ( 9 ) : 725-728.
  • 7Israel Cohen. Relaxed Statistical Model for Speech Enhancement and a Priori SNR Estimation [ J ] , IEEE Trans. On speech and audio processing, 2005,13 ( 5 ) : 870- 881.
  • 8Chen Q, Guo Y, et al. A LSA-MMSE Speech Enhancement Approach Incorporating Masking Properties [ M ]. China, International Conference on Comm. , Circuits and Systems Proc. 2006:455-458.
  • 9ITU-T Recommendation G. 729, Annex B. , 1996.
  • 10Yang W, Dixon M, Yantorno R. A Modified Bark Spectral Distortion Measure Which Uses Noise Masking Threshold [ M ]. Speech Coding for Telecommunications Proc. Pocono Manor, USA. 1997:55-56.

共引文献27

同被引文献9

  • 1Boll S. Suppression of acoustic noise in speech using spec- tral subtraction [ J ]. Acoustics, Speech and Signal Pro- cessing, IEEE Transactions on, 1979, 27(2) : 113-120.
  • 2Ephraim Y, Malah D. Speech enhancement using a mini- mum mean-square error short-time spectral amplitude es- timator[J]. IEEE Trans. on Acoustics, Speech and Sig- nal Processing, 1984, 32 (6) : 1109-1121.
  • 3Ephraim Y, Malah D. Speech enhancement using a mini- mum mean-square error log-spectral amplitude estimator [J]. Acoustics, Speech and Signal Processing, IEEE Transactions on, 1985, 33 (2): 443-445.
  • 4Virag N. Single channel speech enhancement based on masking properties of the human auditory system [ J ]. Speech and Audio Processing, IEEE Transactions on, 1999, 7(2) : 126-137.
  • 5Krishnamoorthy P, Prasanna SR M. Temporal and spec- tral processing methods for processing of degraded speech : a review[ J ]. IETE Technical Review, 2009, 26 (2) : 137.
  • 6Benesty J, Makino S, Chen J. Speech enhancement [ M ]. New York : Springer, 2005.
  • 7Loizou P C. Speech enhancement: theory and practice[ M]. CRC press, 2013.
  • 8Martin R. Spectral subtraction based on minimum statistics [J]. power, 1994, 6: 8.
  • 9Perceptual evaluation of speech quality (PESQ) : An ob- ject method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs. ITU- T Rec. P. 862, 2001.

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信号处理
2013年 第4期

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