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ICASSP
2011
IEEE

Automatic recognition of speech without any audio information

8 years 1 months ago
Automatic recognition of speech without any audio information
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EMA) device and are used as features to create hidden Markov models (HMMs) and conduct automatic speech recognition in a conventional way. The results obtained are promising, which confirm that phonetic features characterizing articulation are as discriminating as those characterizing acoustics (except for voicing). The results also show that using tongue parameters result in a higher accuracy compared with the lip parameters.
Panikos Heracleous, Norihiro Hagita
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Panikos Heracleous, Norihiro Hagita
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