End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition

SPEECH COMMUNICATION, pp. 15-32, 2019.

Cited by: 31|Views64
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Abstract:

In hidden Markov model (HMM) based automatic speech recognition (ASR) system, modeling the statistical relationship between the acoustic speech signal and the HMM states that represent linguistically motivated subword units such as phonemes is a crucial step. This is typically achieved by first extracting acoustic features from the speech...More

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