The NIST speaker recognition evaluation - overview methodology, systems, results, perspective
Speech Communication - Speaker recognition and its commercial and forensic applications
Acoustic Speaker Identification: The LIMSI CLEAR'07 System
Multimodal Technologies for Perception of Humans
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This paper summarizes the LIMSI participation in the CLEAR'06 acoustic speaker identification task that aims to identify speakers in CHIL seminars via the acoustic channel. The system consists of a standard Gaussian mixture model based system similar to systems developed for the NIST speaker recognition evaluations and includies feature warping of cepstral coefficients and MAP adaptation of a Universal Background Model. Several computational optimizations were implemented for real-time efficiency: stochastic frame subsampling for training, top-Gaussians scoring and auto-adaptive pruning for the tests, speeding up the system by more than a factor of ten.