mlsanityData to 7 Oct 2026

Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition

arXiv 2207.05498 ↗First posted 12 Jul 2022cs.CLcited by 4

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Abstract (arXiv)

The Huqariq corpus is a multilingual collection of speech from native Peruvian languages. The transcribed corpus is intended for the research and development of speech technologies to preserve endangered languages in Peru. Huqariq is primarily designed for the development of automatic speech recognition, language identification and text-to-speech tools. In order to achieve corpus collection sustainably, we employ the crowdsourcing methodology. Huqariq includes four native languages of Peru, and it is expected that by the end of the year 2022, it can reach up to 20 native languages out of the 48 native languages in Peru. The corpus has 220 hours of transcribed audio recorded by more than 500 volunteers, making it the largest speech corpus for native languages in Peru. In order to verify the quality of the corpus, we present speech recognition experiments using 220 hours of fully transcribed audio.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 6 of its 24 references that are in the map. First posted on arXiv 12 Jul 2022.

Builds on

6 of 24 references.

References · 6

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  2. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
  3. 2018wav2letter++: The Fastest Open-source Speech Recognition Systemcited by 42
  4. 2020Applying Wav2vec2.0 to Speech Recognition in Various Low-resource Languagescited by 30
  5. 2018Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languagescited by 26
  6. 2019A Resource for Computational Experiments on Mapudunguncited by 4

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Citing papers per year: 2023: 1; 2024: 0; 2025: 2; 2026: 1.

4 papers.