Title :
CSR: Speaker Recognition from Compressed VoIP Packet Stream
Author :
Aggarwal, Charu ; Olshefski, David ; Saha, Debanjan ; Shae, Zon-Yin ; Yu, Philip
Author_Institution :
IBM Thomas J. Watson Res. Center, Hawthorne, NY
Abstract :
VoIP applications require the ability to identify speakers in real time. This paper presents compressed speaker recognition (CSR), an innovative approach to perform speaker recognition directly from the compressed voice packets. CSR performs online speaker recognition from live packet streams of compressed voice packets by performing fast clustering over a defined subset of the features available in each compressed voice packet. Our experimental results show that CSR is highly scalable and accurate across a broad range of speakers
Keywords :
Internet telephony; data compression; speaker recognition; CSR; VoIP application; compressed speaker recognition; compressed voice packet; fast clustering; innovative approach; Authentication; Delay; Feature extraction; Filters; Frequency; Internet telephony; Signal analysis; Speaker recognition; Speech analysis; Speech recognition;
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-9331-7
DOI :
10.1109/ICME.2005.1521586
