A New Time-Frequency Attention Mechanism for TDNN and CNN-LSTM-TDNN, with Application to Language Identification

Author:

Miao Xiaoxiao,McLoughlin Ian,Yan Yonghong

Publisher

ISCA

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Branch-Transformer: A Parallel Branch Architecture to Capture Local and Global Features for Language Identification;Applied Sciences;2024-05-29

2. Filamentary Convolution for Spoken Language Identification: A Brain-Inspired Approach;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Leveraging BERT to Improve Spoken Language Identification of Code-Switching Speech;International Journal of Asian Language Processing;2024-03

4. Robustifying Spoken Language Identification on Noisy Condition Using Curriculum Learning;2023 10th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA);2023-10-07

5. Automatic Language Identification from Non-Uniform Region Using Bi-LSTM and CNN;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

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