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Communication Dans Un Congrès Année : 2010

Méthodes basées sur les HMMs et les GMMs pour l'inversion acoustico-articulatoire en parole

Résumé

Two speech inversion methods are implemented and compared. In the first, multistream Hidden Markov Models (HMMs) of phonemes are jointly trained from synchronous streams of articulatory data acquired by EMA and speech spectral parameters; an acoustic recognition system uses the acoustic part of the HMMs to deliver a phoneme chain and the states durations; this information is then used by a trajectory formation procedure based on the articulatory part of the HMMs to resynthesise the articulatory data. In the second, Gaussian Mixture Models (GMMs) are trained on these streams to associate directly articulatory frames with acoustic frames in context. Over a corpus of 17 minutes uttered by a French speaker, the RMS error was 1,66 mm with the HMMs and 2,25 mm with the GMMs.
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Dates et versions

hal-00508281 , version 1 (02-08-2010)

Identifiants

  • HAL Id : hal-00508281 , version 1

Citer

Atef Ben Youssef, Pierre Badin, Gérard Bailly, Viet-Anh Tran. Méthodes basées sur les HMMs et les GMMs pour l'inversion acoustico-articulatoire en parole. JEP 2010 - 28e Journées d'Etudes sur la Parole, May 2010, Mons, Belgique. pp.249-252. ⟨hal-00508281⟩
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