Importance of energy and spectral features in Gaussian source model for speech dereverberation

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn , Issue , 2007, Pages 299-302

  Nakatani, Tomohiro ^a   Juang, Biing Hwang ^b   Yoshioka, Takuya ^a   Kinoshita, Keisuke ^a   Miyoshi, Masato ^a  

^a NTT Communication Science Laboratories   (Japan)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; CORRELATION DETECTORS; DATA STORAGE EQUIPMENT; REVERBERATION; SIGNAL PROCESSING; SPEECH; TRELLIS CODES; WAVELET TRANSFORMS;

AUTO-REGRESSIVE; AUTOCORRELATION CODEBOOK; AUTOCORRELATION MATRICES; CLEAN SPEECH; DEREVERBERATION; ENERGY FEATURE; EXCITATION SIGNALS; GAUSSIAN SOURCES; HIGH-QUALITY; LINEAR PREDICTION; MAXIMIZATION PROBLEMS; MULTI CHANNELS; SPECTRAL FEATURES; SPEECH DEREVERBERATION; SPEECH SIGNALS; TIME CHARACTERISTICS; VOCAL TRACTS;

AUDIO ACOUSTICS;

EID: 50249151398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2007.4392973     Document Type: Conference Paper

References (9)

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