Improved speech presence probabilities using HMM-based inference, with applications to speech enhancement and ASR

IEEE Journal on Selected Topics in Signal Processing

Volumn 4, Issue 5, 2010, Pages 808-815

  Borgström, Bengt J ^a   Alwan, Abeer ^a  

^a Engineering IV   (United States)

Author keywords

Automatic speech recognition (ASR); hidden Markov models (HMMs); noise suppression; soft decision speech enhancement; speech presence probability (SPPs)

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; FORWARD BACKWARD ALGORITHMS; INFERENCE TECHNIQUES; KULLBACK-LEIBLER DISTANCE; LOW COMPLEXITY; MARKOV MODEL; NOISE SUPPRESSION; NONSTATIONARY NOISE; PARAMETERIZED; RECOGNITION PERFORMANCE; RESOURCE-CONSTRAINED; SIGNAL MODELS; SOFT-DECISION SPEECH ENHANCEMENT; SPEECH DATA; SPEECH DISTORTION; STATE-OF-THE-ART METHODS; STATISTICAL INFERENCE; TEMPORAL CORRELATIONS; TWO-STATE;

HIDDEN MARKOV MODELS; INFERENCE ENGINES; PROBABILITY; PROBABILITY DENSITY FUNCTION; SIGNAL PROCESSING; SPEECH ENHANCEMENT; SURFACE PLASMON RESONANCE; UNDERWATER ACOUSTICS;

SPEECH RECOGNITION;

EID: 77956740715     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2010.2048605     Document Type: Article

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