Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 5492-5495

  Moritz, Niko ^a   Anemüller, Jörn ^b   Kollmeier, Birger ^a,b  

^a FRAUNHOFER IDMT   (Germany)

^b UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

Amplitude Modulation Spectrogram (AMS); Automatic Speech Recognition (ASR); Feature Extraction; Phase; Reverberation

Indexed keywords

ACOUSTIC SPECTRA; AMPLITUDE FLUCTUATIONS; AUTOMATIC SPEECH RECOGNITION; BASIS FUNCTIONS; CEPSTRAL; DYNAMIC FEATURES; EARLY-TO-LATE; ENERGY RATIO; FEATURE EXTRACTION METHODS; MODULATION SPECTRUM; PHASE; PHASE INFORMATION; REVERBERANT ENVIRONMENT; ROBUST SPEECH RECOGNITION; SPECTROGRAMS; SUB-BANDS; TEMPORAL FILTERS;

AMPLITUDE MODULATION; FEATURE EXTRACTION; REVERBERATION; SIGNAL PROCESSING; SPECTROGRAPHS; SPECTRUM ANALYSIS; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 80051627812     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947602     Document Type: Conference Paper

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