The AMI meeting corpus: a pre-announcement
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
The development of the AMI system for the transcription of speech in meetings
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
The AMI speaker diarization system for NIST RT06s meeting data
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
The AMI meeting transcription system: progress and performance
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Recovery of rare words in lecture speech
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
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Meeting transcription is one of the main tasks for large vocabulary automatic speech recognition (ASR) and is supported by several large international projects in the area. The conversational nature, the difficult acoustics, and the necessity of high quality speech transcripts for higher level processing make ASR of meeting recordings an interesting challenge. This paper describes the development and system architecture of the 2007 AMIDA meeting transcription system, the third of such systems developed in a collaboration of six research sites. Different variants of the system participated in all speech to text transcription tasks of the 2007 NIST RT evaluations and showed very competitive performance. The best result was obtained on close-talking microphone data where a final word error rate of 24.9% was obtained.