Open AccessPerformance Enhancement on Voice using VAD Algorithm and Cepstral Analysis
Author(s) -
T. Ravichandran,
K. D. Samy
Publication year - 2006
Publication title -
journal of computer sciences/journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 28
eISSN - 1552-6607
pISSN - 1549-3636
DOI - 10.3844/jcssp.2006.835.840
Subject(s) - computer science , speech recognition , mel frequency cepstrum , cepstrum , algorithm , artificial intelligence , feature extraction
The Transport of Voice Over Network has been existing for a long time. Due to the bad quality of speech and absence of useful service, it has not yet been widely spread. The benefits of reduced cost and bandwidth savings of carrying voice over data network is associated with Quality of Service (QoS). Many different techniques and protocols are used to improve the quality of service in voice over data network. We review our data on the voice quality effects of background noise and the compression option of suppressing transmission during silence. Because the main problem of echo has emerged repeatedly in the VOIP environment, we review this issue in voice over data communication network is used to VAD algorithms and cepstral analysis of VOIP network performance