A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems
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Abstract (arXiv)
In this paper, we examine the research conducted in the field of Nepali Automatic Speech Recognition (ASR). The primary objective of this survey is to conduct a comprehensive review of the works on Nepali Automatic Speech Recognition Systems completed to date, explore the different datasets used, examine the technology utilized, and take account of the obstacles encountered in implementing the Nepali ASR system. In tandem with the global trends of ever-increasing research on speech recognition based research, the number of Nepalese ASR-related projects are also growing. Nevertheless, the investigation of language and acoustic models of the Nepali language has not received adequate attention compared to languages that possess ample resources. In this context, we provide a framework as well as directions for future investigations.
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References · 5
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
- 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,303
- 2015An Introduction to Convolutional Neural Networkscited by 510
- 2017Transfer Learning for Speech Recognition on a Budgetcited by 25
- 2018Transfer learning of language-independent end-to-end ASR with language model fusioncited by 10
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