Title :
Performance evaluation and comparison of G.729/AMR/fuzzy voice activity detectors
Author :
Beritelli, F. ; Casale, S. ; Ruggeri, G. ; Serrano, S.
Author_Institution :
Dept. of Inf. & Telecommun. Eng., Catania Univ., Italy
fDate :
3/1/2002 12:00:00 AM
Abstract :
The paper proposes a performance evaluation and comparison of G.729, AMR, and fuzzy voice activity detection (FVAD) algorithms. The comparison was made using objective, psychoacoustic, and subjective parameters. A highly varied speech database was also set up to evaluate the extent to which VADs depend on language, the signal-to-noise ratio (SNR), or the power level.
Keywords :
speech processing; voice equipment; AMR voice activity detection algorithm; FVAD algorithms; G.729 voice activity detection algorithm; VADs; fuzzy voice activity detection algorithm; language; objective parameters; performance evaluation; power level; psychoacoustic parameters; signal-to-noise ratio; speech database; subjective parameters; Background noise; Bit rate; Databases; Detectors; Mobile communication; Psychology; Signal to noise ratio; Speech analysis; Speech enhancement; Telecommunication standards;
Journal_Title :
Signal Processing Letters, IEEE
