Improving Low-Resource Speech Recognition Based on Improved NN-HMM Structures
The performance of the ASR system is unsatisfactory in a low-resource environment. In this paper, we investigated the effectiveness of three approaches to improve the performance of the acoustic models in low-resource environments. They are Mono-and-triphone Learning, Soft One-hot Label and Feature...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9069188/ |