{
  "id": 15002,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1878977",
  "title": "A comparative analysis of pretrained Wav2Vec XLSR-53 and Whisper-Small models for automatic speech recognition in the Telugu language",
  "summary": "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",
  "authors": "Jagalingam Pushparaj",
  "category": "research",
  "topics": "finance-investment",
  "orgs": null,
  "regions": "india",
  "published_at": "2026-07-30T00:00:00.000Z",
  "fetched_at": "2026-07-31T05:10:57.675Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/15002",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1878977",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}