Christophe Ris

Christophe Ris
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Main area of research
Speech recognition

Selected articles

Use of acoustic prior information for confidence measure in asr Applications

In this paper, we propose a new acoustic confidence measure of ASR hypothesis and compare it to approaches proposed in the literature. This approach takes

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Model-based independent component analysis for robust multi-microphone automatic speech recognition

In this communication, we present a method for noise-robust multi-microphone automatic speech recognition (ASR). It is assumed that the speech source to be recognized is

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Phonetic alignment: speech synthesis-based vs. Viterbi-based.

In this paper we compare two different methods for automatically phonetically labeling a continuous speech database, as usually required for designing a speech recognition or

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Robust feature extraction and acoustic modeling at Multitel: experiments on the Aurora databases

This paper intends to summarize some of the robust feature extraction and acoustic modeling technologies used at Multitel, together with their assessment on some of

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An architecture for voice-enabled interfaces over local wireless networks

Lots of industrial tasks need contacts between operators and a central Information Management System. Permanent contact cre­ates a more effective and efficient workforce with a

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