Evidence record 15002 · automatically gathered

A comparative analysis of pretrained Wav2Vec XLSR-53 and Whisper-Small models for automatic speech recognition in the Telugu language

This study presents the development of an automatic speech recognition (ASR) system tailored for Telugu, one of the widely spoken Indian languages. In recent years, deep learning (DL) techniques have been applied to develop ASR systems across various languages and domains. These models, however, require substantial training resources and extensive corpora of continuous speech composed from multiple dialectal speakers, along with their corresponding transcripts. This paper investigates the effect

Record details

Published: 30 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Finance, VC & PE
Retrieved: 31 July 2026

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ethics.ai (30 July 2026), “A comparative analysis of pretrained Wav2Vec XLSR-53 and Whisper-Small models for automatic speech recognition in the Telugu language,” evidence record 15002, https://ethics.ai/record/15002 (originally published by Frontiers in Artificial Intelligence).

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