有哪些适合深度学习语音识别（ASR）入门看的论文?
2024-04-12 阅读 10
以下是一些适合初学者阅读的关于深度学习语音识别（ASR）的论文：
1. Hinton, G., Deng, L., Yu, D., Dahl, G. E., Mohamed, A. R., Jaitly, N., ... & Kingsbury, B. (2012). Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Processing Magazine, 29(6), 82-97.
2. Graves, A., Mohamed, A. R., & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. In 2013 IEEE international conference on acoustics, speech and signal processing (pp. 6645-6649). IEEE.
3. Amodei, D., An, J., An, A., Bai, Y., Battenberg, E., Case, C., ... & Chen, J. (2016). Deep speech 2: End-to-end speech recognition in English and Mandarin. arXiv preprint arXiv:1512.02595.
4. Chan, W., Jaitly, N., Le, Q. V., & Vinyals, O. (2016). Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. In 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 4960-4964). IEEE.
这些论文可以帮助您了解深度学习在语音识别领域的应用和发展。希望对您有所帮助！
更新于 2024年11月21日
