Automatic speaker localization is an important task in several applications such as acoustic scene analysis, hands-free videoconferencing orspeechenhancement.Trackingspeakersinmult...
Carlos Segura, Alberto Abad, Javier Hernando, Clim...
In this paper we describe the AMIDA speaker dizarization system as it was submitted to the NIST Rich Transcription evaluation 2007 for conference room data. This is done in the con...
A system to automatically transcribe lectures and presentations has been developed in the context of the FP6 Integrated Project CHIL. In addition to the seminar data recorded by th...
Lori Lamel, Eric Bilinski, Jean-Luc Gauvain, Gille...
Background: Accurate and sensitive performance evaluation is crucial for both effective development of better structure prediction methods based on sequence similarity, and for th...
Yuan Qi, Ruslan Sadreyev, Yong Wang, Bong-Hyun Kim...
In this paper, we introduce the new paradigm used in the most recent ARPA-sponsoredContinuousSpeech Recognition(CSR) evaluation and then discuss the important features of the test...
Francis Kubala, Jerome R. Bellegarda, Jordan Cohen...