Application of Deep Learning in Chinese Speech Recognition System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1983-9_47
Reference18 articles.
1. Leini Z, Xiaolei S (2021) Study on speech recognition method of artificial intelligence deep learning. J Phys: Conf Ser 1754(1):012183 (5pp)
2. Hussain M, Abishek S, Ashwanth KP, Bharanidharan C, Girish S (2021) Feature specific hybrid framework on composition of deep learning architecture for speech emotion recognition. J Phys: Conf Ser 1916(1):012094 (6pp)
3. An XD, Ruan Z (2021) Speech emotion recognition algorithm based on deep learning algorithm fusion of temporal and spatial features. J Phys: Conf Ser 1861(1):012064 (6pp)
4. Reitmaier T, Wallington E, Kalarikalayil Raju D, Klejch O, Pearson J, Jones M ... Robinson S (2022) Opportunities and challenges of automatic speech recognition systems for low-resource language speakers. In: Proceedings of the 2022 CHI conference on human factors in computing systems, pp 1–17
5. Peng K, Wu L, Wang X, Shi T (2021) Speech emotion recognition based on convolutional neural network for emergency system of railway station. J Phys: Conf Ser 1927(1): 012023
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