4 search results - page 1 / 1 » Voice source cepstrum coefficients for speaker identificatio... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a novel feature set for speaker recognition that is based on the voice source signal. The feature extraction process uses closed-phase LPC analysis to estimate the voca...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
The popular mel-frequency cepstral coefficients (MFCCs) capture a mixture of speaker-related, phonemic and channel information. Speaker-related information could be further broke...
ISMIR
2005
Springer
13 years 10 months ago
2005
Springer
The singing voice is the oldest and most complex musical instrument. A familiar singer’s voice is easily recognizable for humans, even when hearing a song for the first time. O...
ICMCS
2007
IEEE
13 years 8 months ago
2007
IEEE
Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...