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Exploring Turkish Speech Recognition via Hybrid CTC/Attention Architecture and Multi-feature Fusion Network
The results show that the WER of the proposed feature fusion network based on LSPC is improved by 0. 82% and 1. 94% again compared with the single feature (Fbank feature and Spectrogram feature) extraction using LSPC.
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