Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition

Speech Communication

Volumn 53, Issue 5, 2011, Pages 753-767

  Meyer, Bernd T ^a   Kollmeier, Birger ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

Automatic speech recognition; Intrinsic variability; Robustness; Spectro temporal feature extraction

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; BIO-INSPIRED; COMBINED INFORMATIONS; DIGIT CLASSIFICATION; EXTRINSIC FACTORS; FEATURE TYPES; GABOR FEATURE; INTRINSIC VARIABILITIES; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; NOISE SOURCE; PHONEME RECOGNITION; ROBUSTNESS; SPEAKING RATE; SPEAKING STYLES; SPECTRAL FEATURE; SPECTRO-TEMPORAL FEATURE EXTRACTION; TEMPORAL FEATURES; TEMPORAL PROCESSING; TEST CONDITION; TRANSMISSION CHANNELS; WORD ERROR RATE;

CHARACTER RECOGNITION; FEATURE EXTRACTION; SPEECH;

SPEECH RECOGNITION;

EID: 79953659090     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2010.07.002     Document Type: Article

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