Henri Leich

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There are two major approaches to speech recognition: frame-based and segment-based approach. Frame-based approach, e.g. HMM, assumes statistical independence and identical distribution of observation in each state. In addition it incorporates weak duration constrains. Segment-based approach is computational expensive and rough modelling easilly occurs if(More)
*Faculté Polytechnique, 31 boulevard Dolez – B-7000 Mons – Belgique ABSTRACT This paper accounts for the DEMOSTHENES application, an interactive tool for the correction of foreign language learners' pronunciation. After giving the didactic and technical arguments advocating for DEMOSTHENES, the authors describe the phase of creation and labelling of a sound(More)
In this paper, we investigate the use of four candidate speech models in the context of High Quality Text-To-Speech systems (HQ-TTS), address problems typically encountered by their prosody matching and segment concatenation modules, and compare their performances regarding : the segment database compression ratio they allow, the computational load of the(More)
| In this paper we report a series of tests carried out on our hybrid HMM/ANN systems which aims at combining Neural Networks theory and Hidden Markov Models (HMMs) for speech recognition of a continuous speech French database: BREF-80. As this database is not manually labelled , we describe a new method based on the temporal alignment of the speech signal(More)