Abstract
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.
This work was partially financed by the European Commission under the FP6 Integrated Project IP 506909 Chil.
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References
Barras, C., Gauvain, J.-L.: Feature and score normalization for speaker verification of cellular data. In: Proc. of IEEE ICASSP (May 2003)
Doddington, G., Przybocki, M., Martin, A., Reynolds, D.: The NIST speaker recognition evaluation - overview, methodology, systems, results, perspective. Speech Communication 31, 225–254 (2000)
Gauvain, J.-L., Lee, C.H.: Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing 2(2), 291–298 (1994)
McLaughlin, J., Reynolds, D., Gleason, T.: A Study of Computation Speed-UPS of the GMM-UBM Speaker Recognition System. In: Proc. Eurospeech’99, Budapest, pp. 1215–1218 (Sept. 1999)
Mostefa, D., et al.: CLEAR Evaluation Plan v1.1 (2006), http://isl.ira.uka.de/clear06/downloads/chil-clear-v1.1-2006-02-21.pdf
Pelecanos, J., Sridharan, S.: Feature warping for robust speaker verification. In: Proc. ISCA Workshop on Speaker Recognition - Odyssey (June 2001)
Reynolds, D., Quatieri, T., Dunn, R.: Speaker verification using adapted Gaussian mixture models. Digital Signal Processing 10, 19–41 (2000)
Zhu, X., Leung, C-C., Barras, C., Lamel, L., Gauvain, J-L.: Speech activity detection and speaker identification for CHIL. In: Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI), Edinburgh (July 2005)
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Barras, C., Zhu, X., Gauvain, JL., Lamel, L. (2007). The CLEAR’06 LIMSI Acoustic Speaker Identification System for CHIL Seminars. In: Stiefelhagen, R., Garofolo, J. (eds) Multimodal Technologies for Perception of Humans. CLEAR 2006. Lecture Notes in Computer Science, vol 4122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69568-4_20
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DOI: https://doi.org/10.1007/978-3-540-69568-4_20
Publisher Name: Springer, Berlin, Heidelberg
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