Search Results for author: Yuri Khokhlov

Found 5 papers, 1 papers with code

Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models

no code implementations15 Mar 2020 Natalia Tomashenko, Yuri Khokhlov, Yannick Esteve

Experimental results on the TED-LIUM corpus show that the proposed adaptation technique can be effectively integrated into DNN and TDNN setups at different levels and provide additional gain in recognition performance: up to 6% of relative word error rate reduction (WERR) over the strong feature-space adaptation techniques based on maximum likelihood linear regression (fMLLR) speaker adapted DNN baseline, and up to 18% of relative WERR in comparison with a speaker independent (SI) DNN baseline model, trained on conventional features.


Fast and Accurate OOV Decoder on High-Level Features

no code implementations19 Jul 2017 Yuri Khokhlov, Natalia Tomashenko, Ivan Medennikov, Alexei Romanenko

The proposed approach is based on using high-level features from an automatic speech recognition (ASR) system, so called phoneme posterior based (PPB) features, for decoding.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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