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A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems

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arxiv 2402.03050 v1 pith:GV2KYIOL submitted 2024-02-05 cs.SD cs.CLeess.AS

Rupak Raj Ghimire , Bal Krishna Bal , Prakash Poudyal This is my paper · ORCID
classification cs.SDcs.CLeess.AS
keywords nepalirecognitionspeechautomaticresearchcomprehensiveexaminelanguage
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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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  1. A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages

    cs.CL 2024-12 conditional novelty 4.0 of 10

    A breadth-first survey of recent South Asian language NLP, speech, and multimodal research, organized with LLM-based classification and clustering.

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