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» Higher-Level Features in Speaker Recognition
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ICASSP
2008
IEEE
14 years 5 months ago
Voice source cepstrum coefficients for speaker identification
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...
Jon Gudnason, Mike Brookes
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
14 years 2 months ago
Speaker Verification with Adaptive Spectral Subband Centroids
Abstract. Spectral subband centroids (SSC) have been used as an additional feature to cepstral coefficients in speech and speaker recognition. SSCs are computed as the centroid fre...
Tomi Kinnunen, Bingjun Zhang, Jia Zhu, Ye Wang
LREC
2008
119views Education» more  LREC 2008»
14 years 10 days ago
Text Independent Speaker Identification in Multilingual Environments
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
Iker Luengo, Eva Navas, Iñaki Sainz, Ibon S...
ICASSP
2009
IEEE
14 years 5 months ago
Statistical analysis of amplitude modulation in speech signals using an AM-FM model
Several studies have been dedicated to the analysis and modeling of AM–FM modulations in speech and different algorithms have been proposed for the exploitation of modulations i...
Pirros Tsiakoulis, Alexandros Potamianos
INTERSPEECH
2010
13 years 5 months ago
Can conversational word usage be used to predict speaker demographics?
This work surveys the potential for predicting demographic traits of individual speakers (gender, age, education level, ethnicity, and geographic region) using only word usage fea...
Dan Gillick