Open speech resources application in sports distance courses based on recurrent neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-023-01959-4.pdf
Reference16 articles.
1. Chen D, Mak BKW (2015) Multitask learning of deep neural networks for low-resource speech recognition. IEEE/ACM Trans Audio Speech Lang Process 23(7):1172–1183
2. Cui X, Goel V, Kingsbury B (2015) Data augmentation for deep neural network acoustic modeling. IEEE/ACM Trans Audio Speech Lang Process 23(9):1469–1477
3. Cutajar M, Gatt E, Grech I et al (2013) Comparative study of automatic speech recognition techniques. IET Signal Proc 7(1):25–46
4. Holzinger A, Langs G, Denk H et al (2019) Causability and explainability of artificial intelligence in medicine. Wiley Interdiscip Rev Data Min Knowl Discov 9(4):e1312
5. Karpagavalli S, Chandra E (2016) A review on automatic speech recognition architecture and approaches. Int J Signal Process Image Process Pattern Recogn 9(4):393–404
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