End-to-End Mandarin Recognition based on Convolution Input
The cross-entropy criterion of mainstream neural network training is to classify and optimize each frame of acoustic data, while the continuous speech recognition uses the sequence-level transcription accuracy as a performance measure. In view of this difference, an end-to-end speech recognition sys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201821401004 |