Abstract
The CLEAR 2007 acoustic speaker identification task aims to identify speakers in CHIL seminars via the acoustic channel. The LIMSI system for this task consists of a standard Gaussian mixture model based system working on cepstral coefficients, with MAP adaptation of a Universal Background Model (UBM). It builds upon the LIMSI CLEAR’06 system with several modifications: removal of feature normalization and frames filtering, and pooling of all speaker enrollment data for UBM training. The primary system uses a beamforming of all audio channels, while a single channel is selected for the contrastive system. This latter system performs the best and improves the baseline system by 50% relative for the 1 second and 5 seconds test conditions.
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Barras, C., Zhu, X., Leung, CC., Gauvain, JL., Lamel, L. (2008). Acoustic Speaker Identification: The LIMSI CLEAR’07 System. In: Stiefelhagen, R., Bowers, R., Fiscus, J. (eds) Multimodal Technologies for Perception of Humans. RT CLEAR 2007 2007. Lecture Notes in Computer Science, vol 4625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68585-2_21
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DOI: https://doi.org/10.1007/978-3-540-68585-2_21
Publisher Name: Springer, Berlin, Heidelberg
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