The AMI speaker diarization system for NIST RT06s meeting data
other
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.
TNO Identifier
16678
Publisher
Springer
Source title
Machine Learning for Multimodal Interaction: Proceedings MIMI 2006
Place of publication
Washington D.C.
Pages
371 - 384
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