The CSLU speaker recognition corpus
Ronald A. Cole, Mike Noel, Victoria Noel · 1998
This paper describes the CSLU Speaker Recognition Corpus data collection. The corpus was motivated by a need for speech data from many speakers, under different environmental conditions, with each speaker providing data over a significant period of time. The corpus was designed to provide sufficient data to study phonetic variability within and across sessions, and to design and evaluate systems for both vocabulary independent and vocabulary specific recognition and verification tasks. The protocol includes fixed vocabulary phrases, digit strings, personal utterances (e.g., eye color), and fluent speech. The resulting Speaker Recognition Corpus is a collection of telephone speech recordings from over 500 participants collected over a two-year period. We describe the data collection procedure, the protocol, the transcription methods and the current status of the Speaker Recognition Corpus. 1. OVERVIEW Advances in speech technology require language resources to enable researchers to st...