Time-frequency plane Wiener filtering for robust processing of speech signals

2002 ◽  
Author(s):  
Adrian Ang ◽  
Ee-Luang Ang ◽  
A.B. Premkumar ◽  
A.S. Madhukumar
Keyword(s):  
Wiener Filtering ◽  
Speech Signals ◽  
Time Frequency ◽  
Processing Of Speech Signals ◽  
Robust Processing

Time-frequency plane wiener filtering for robust processing of speech signals

1999 ◽  
Vol 20 (6-7) ◽  
pp. 454 ◽  
Author(s):  
Adrian Ang ◽  
Ee-Luang Ang ◽  
A.B. Premkumar ◽  
A.S. Madhukumar
Keyword(s):  
Wiener Filtering ◽  
Speech Signals ◽  
Time Frequency ◽  
Processing Of Speech Signals ◽  
Robust Processing

THE ADVANTAGE OFTHEWAVELET TRANSFORM IN PROCESSING OF SPEECH SIGNALS

2021 ◽  
Vol 4 (3) ◽  
pp. 37-41
Author(s):  
Sayora Ibragimova ◽  
Keyword(s):  
Fourier Transform ◽  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Speech Processing ◽  
High Performance ◽  
Speech Sound ◽  
Digital Signal ◽  
Speech Signals ◽  
Multi Scale ◽  
Processing Of Speech Signals

This work deals with basic theory of wavelet transform and multi-scale analysis of speech signals, briefly reviewed the main differences between wavelet transform and Fourier transform in the analysis of speech signals. The possibilities to use the method of wavelet analysis to speech recognition systems and its main advantages. In most existing systems of recognition and analysis of speech sound considered as a stream of vectors whose elements are some frequency response. Therefore, the speech processing in real time using sequential algorithms requires computing resources with high performance. Examples of how this method can be used when processing speech signals and build standards for systems of recognition.Key words: digital signal processing, Fourier transform, wavelet analysis, speech signal, wavelet transform

Time–frequency Wiener filtering for structural noise reduction

Ultrasonics ◽  
2002 ◽  
Vol 40 (1-8) ◽  
pp. 259-261 ◽  
Author(s):  
M.A.G. Izquierdo ◽  
M.G. Hernández ◽  
O. Graullera ◽  
L.G. Ullate
Keyword(s):  
Noise Reduction ◽  
Wiener Filtering ◽  
Structural Noise ◽  
Time Frequency

scholarly journals Consistent Wiener Filtering: Generalized Time-Frequency Masking Respecting Spectrogram Consistency

2010 ◽  
pp. 89-96 ◽  
Author(s):  
Jonathan Le Roux ◽  
Emmanuel Vincent ◽  
Yuu Mizuno ◽  
Hirokazu Kameoka ◽  
Nobutaka Ono ◽  
...  
Keyword(s):  
Wiener Filtering ◽  
Time Frequency ◽  
Generalized Time
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