Abstract
This paper describes the 2007 meeting speech-to-text system for lecture rooms developed at the Interactive Systems Laboratories (ISL), for the multiple distant microphone condition, which has been evaluated in the RT-07 Rich Transcription Meeting Evaluation sponsored by the US National Institute of Standards and Technologies (NIST). We describe the principal differences between our current system and those submitted in previous years, namely the use of a signal adaptive front-end (realized by warped-twice warped minimum variance distortionless response spectral estimation), improved acoustic (including maximum mutual information estimation) and language models, cross adaptation between systems which differ in the front-end as well as the phoneme set, the use of a discriminative criteria instead of the signal-to-noise ratio for the selection of the channel to be used and the use of decoder based speech segmentation.
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Wölfel, M., Stüker, S., Kraft, F. (2008). The ISL RT-07 Speech-to-Text System. In: Stiefelhagen, R., Bowers, R., Fiscus, J. (eds) Multimodal Technologies for Perception of Humans. RT CLEAR 2007 2007. Lecture Notes in Computer Science, vol 4625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68585-2_43
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DOI: https://doi.org/10.1007/978-3-540-68585-2_43
Publisher Name: Springer, Berlin, Heidelberg
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