Normalization Of Modulation Features For Speaker Recognition

Thiruvaran, T; Ambikairajah, E.; Epps, J.

dc.contributor.author	Thiruvaran, T
dc.contributor.author	Ambikairajah, E.
dc.contributor.author	Epps, J.
dc.date.accessioned	2021-03-26T03:13:45Z
dc.date.accessioned	2022-06-27T10:01:59Z
dc.date.available	2021-03-26T03:13:45Z
dc.date.available	2022-06-27T10:01:59Z
dc.date.issued	2007
dc.identifier.citation	Thiruvaran, T., Ambikairajah, E., & Epps, J. (2007, July). Normalization of modulation features for speaker recognition. In 2007 15th International Conference on Digital Signal Processing (pp. 599-602). IEEE.	en_US
dc.identifier.uri	http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/2140
dc.description.abstract	Modulation features are emerging as a more recent alternative to more conventional magnitude-based features for speech processing applications such as speaker recognition. Frequency Modulation (FM) based features are one such example and in this paper their normalization using feature warping is examined in detail. Evaluations of different FM feature and warping configurations on the NIST 2001 Speaker Recognition corpus show that feature warping is not an effective normalization technique for FM features, despite its well-known effectiveness for Mel frequency cepstral coefficients (MFCC). This study further suggests a closer investigation on feature dependency of the existing system when using new features.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Feature Warping	en_US
dc.subject	FM	en_US
dc.title	Normalization Of Modulation Features For Speaker Recognition	en_US
dc.type	Article	en_US