MUSICAL NOISE GENERATION ANALYSIS FOR NOISE REDUCTION METHODS BASED ON SPECTRAL SUBTRACTION AND MMSE STSA ESTIMATION

被引：22

作者：

Uemura, Yoshihisa ^{[1
]}

Takahashi, Yu ^{[1
]}

Saruwatari, Hiroshi ^{[1
]}

Shikano, Kiyohiro ^{[1
]}

Kondo, Kazunobu ^{[2
]}

机构：

[1] Nara Inst Sci & Technol, Nara 6300192, Japan

[2] Yamaha Corp, Ctr Adv Sound Technol, SA Grp, Shizuoka 4380912, Japan

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年

关键词：

Musical noise; higher-order statistics; minimum mean-square error short-time spectral amplitude; spectral subtraction; speech enhancement;

D O I：

10.1109/ICASSP.2009.4960613

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an interesting relationship among the degree of generated musical noise, the shapes of signal's probability density function, the strength parameter of SS processing. This paper is aimed to automatically evaluate the sound quality of various types of noise reduction methods using kurtosis change ratio. We give: a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS.

引用

页码：4433 / +

页数：2

共 50 条

[41] A noise suppression method based on mutual control of spectral subtraction and spectral amplitude suppression
Furuta, Satoru
Takahashi, Shinya
Nakajima, Kunio
Systems and Computers in Japan, 2007, 38 (14) : 90 - 102
[42] An Octave-Scale Multiband Spectral Subtraction Noise Reduction Method for Speech Enhancement
Bhattacharya, P. C.
Tangsangiumvisai, N.
2017 IEEE 2ND INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2017, : 346 - 350
[43] Musical-noise-free blind speech extraction integrating microphone array and iterative spectral subtraction
Miyazaki, Ryoichi
Saruwatari, Hiroshi
Nakamura, Satoshi
Shikano, Kiyohiro
Kondo, Kazunobu
Blanchette, Jonathan
Bouchard, Martin
SIGNAL PROCESSING, 2014, 102 : 226 - 239
[44] Noise reduction in biomedical speech signal processing based on time and frequency Kalman filtering combined with spectral subtraction
Aureliano da Silva, Leandro
Basilio Joaquim, Marcelo
COMPUTERS & ELECTRICAL ENGINEERING, 2008, 34 (02) : 154 - 164
[45] Analysis of Morse Signal Noise Reduction Methods
Wang Yiran
You Xiangdong
Tang Cuiling
2021 THE 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING, ICCIP 2021, 2021, : 188 - 193
[46] Noise reduction using spectral-subtraction algorithm with over-subtraction and spectral-reservation factors adapted by harmonic properties
Lu, Ching-Ta
Lei, Chung-Lin
Shen, Jun-Hong
Wang, Ling-Ling
NOISE CONTROL ENGINEERING JOURNAL, 2017, 65 (06) : 509 - 521
[47] Unbiased Noise Estimator for q-Spectral Subtraction based Speech Enhancement
Dahlan, Rico
Krisnandi, Dikdik
Ramdan, Ade
Pardede, Hilman F.
2019 INTERNATIONAL CONFERENCE ON RADAR, ANTENNA, MICROWAVE, ELECTRONICS, AND TELECOMMUNICATIONS (ICRAMET), 2019, : 65 - 68
[48] A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator
Zhang, Qiquan
Wang, Mingjiang
Lu, Yun
Zhang, Lu
Idrees, Muhammad
DIGITAL SIGNAL PROCESSING, 2019, 88 : 41 - 52
[49] A MODIFIED SPECTRAL SUBTRACTION ALGORITHM FOR REAL-TIME NOISE REDUCTION APPLIED TO GUNSHOT ACOUSTICS
Ramos, Antonio L. L.
Holm, Sverre
Gudvangen, Sigmund
Otterlet, Ragnvald
2012 INTERNATIONAL CONFERENCE ON SIGNALS AND ELECTRONIC SYSTEMS (ICSES), 2012,
[50] Speech Source Separation and Noise Reduction using a MMSE Short-Time Spectral Amplitude Estimator
Imsiya, K. A.
Nandana, B. T.
2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS), 2015,

← 1 2 3 4 5 →