Advances in all-neural speech recognition
This paper advances the design of CTC-based all-neural (or end-to-end) speech recognizers. We propose a novel symbol inventory, and a novel iterated-CTC method in which a second system is used to transform a noisy initial output into a cleaner version. We present a number of stabilization and initia...
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Published in | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 4805 - 4809 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2017
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Subjects | |
Online Access | Get full text |
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