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37

ICASSP
2011
IEEE

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Automatic recognition of speech without any audio information

13 years 2 months ago

Automatic recognition of speech without any audio information

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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

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Automatic Recognition | Automatic Speech Recognition | ICASSP 2011 | Signal Processing | Tongue Parameters |

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Added	20 Aug 2011
Updated	20 Aug 2011
Type	Journal
Year	2011
Where	ICASSP
Authors	Panikos Heracleous, Norihiro Hagita

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