An effective algorithm for automatic detection and exact demarcation of breath sounds in speech and song signals

IEEE Transactions on Audio, Speech and Language Processing

Volumn 15, Issue 3, 2007, Pages 838-850

  Ruinskiy, Dima ^a,b   Lavner, Yizhar ^a  

^a TEL HAI COLLEGE   (Israel)

^b WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

Breath detection; Event spotting in speech and audio; Mel frequency cepstral coefficient (MFCC)

Indexed keywords

AESTHETIC QUALITIES; AUDIO SIGNALS; AUTOMATIC ALGORITHMS; AUTOMATIC DETECTIONS; BREATH DETECTION; BREATH SOUNDS; EDGE DETECTION ALGORITHMS; EFFECTIVE ALGORITHMS; EVENT SPOTTING IN SPEECH AND AUDIO; FALSE DETECTIONS; FREQUENCY-DOMAIN PARAMETERS; IDENTIFICATION RATES; MEL FREQUENCY CEPSTRAL COEFFICIENT (MFCC); MUSIC INDUSTRIES; SINGULAR VALUES; THREE PHASIS; TIME DOMAINS; TIME FRAMES;

ALGORITHMS; EDGE DETECTION; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION; SPEECH RECOGNITION; SPEECH TRANSMISSION; TEMPLATE MATCHING;

AUDIO ACOUSTICS;

EID: 64149099357     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2006.889750     Document Type: Article

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