Hybrid convolutional neural networks for articulatory and acoustic information based speech recognition

Speech Communication, Volume 89, Issue C, 2017, Pages 103-112.

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Abstract:

Studies have shown that articulatory information helps model speech variability and, consequently, improves speech recognition performance. But learning speaker-invariant articulatory models is challenging, as speaker-specific signatures in both the articulatory and acoustic space increase complexity of speech-to-articulatory mapping, whi...More

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