Abstract
We describe the systems submitted to the NIST RT06s evaluation for the Speech Activity Detection (SAD) and Speaker Diarization (SPKR) tasks. For speech activity detection, a new analysis methodology is presented that generalizes the Detection Erorr Tradeoff analysis commonly used in speaker detection tasks. The speaker diarization systems are based on the TNO and ICSI system submitted for RT05s. For the conference room evaluation Single Distant Microphone condition, the SAD results perform well at 4.23 % error rate, and the ‘HMM-BIC’ SPKR results perform competatively at an error rate of 37.2 % including overlapping speech.
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References
Fiscus, J.G., Radde, N., Garofolo, J.S., Le, A., Ajot, J., Laprun, C.: The rich transcription 2006 spring meeting recognition evaluation. LNCS, pp. 309–322. Springer, Heidelberg (2007)
van Leeuwen, D.A.: The TNO speaker diarization system for NIST rich transcription evaluation 2005 for meeting data. LNCS, pp. 400–449. Springer, Heidelberg (2006)
Hain, T., Burget, L., Dines, J., Garau, G., Karafiat, M., Lincoln, M., Vepa, J., Wan, V.: The AMI meeting transcription system: Progress and performance. LNCS, pp. 419–431. Springer, Heidelberg (2007)
Anguera, X., Wooters, C., Peskin, B., Aguiló, M.: Robust speaker segmentation for meetings: The ICSI-SRI spring 2005 diarization system. LNCS, pp. 402–414. Springer, Heidelberg (2006)
Hermansky, H., Morgan, N.: Rasta processing of speech. IEEE Transactions on Speech and Audio Processing, special issue on Robust Speech Recognition 2, 578–589 (1994)
Macho, D., Temko, A., Nadeu, C.: Robust speech activity detection in interactive smart-room environment. LNCS, pp. 236–247. Springer, Heidelberg (2007)
Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET curve in assessment of detection task performance. In: Proc. Eurospeech 1997, Rhodes, Greece, pp. 1895–1898 (1997)
van Leeuwen, D.A., Bouten, J.S.: Results of the 2003 NFI-TNO forensic speaker recognition evaluation. In: Proc. Odyssey 2004 Speaker and Language recognition workshop, ISCA, pp. 75–82 (2004)
Pellom, B., Hacioglu, K.: Recent Improvements in the CU Sonic ASR system for Noisy Speech: The SPINE Task. In: Proc. ICASSP (2003)
Ajmera, J., McCowan, I., Bourlard, H.: Robust speaker change detection. IEEE Signal Processing Lettres 11, 649–651 (2004)
Navrátil, J., Ramsawamy, G.N.: The awe and mistery of t-norm. In: Proc. Eurospeech, pp. 2009–2012 (2003)
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van Leeuwen, D.A., Huijbregts, M. (2006). The AMI Speaker Diarization System for NIST RT06s Meeting Data. In: Renals, S., Bengio, S., Fiscus, J.G. (eds) Machine Learning for Multimodal Interaction. MLMI 2006. Lecture Notes in Computer Science, vol 4299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11965152_33
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DOI: https://doi.org/10.1007/11965152_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69267-6
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