Pith. sign in

REVIEW 1 cited by

Speech Wikimedia: A 77 Language Multilingual Speech Dataset

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2308.15710 v1 pith:JLJTZBEC submitted 2023-08-30 cs.AI cs.LG

Rafael Mosquera Gómez , Julián Eusse , Juan Ciro , Daniel Galvez , Ryan Hileman , Kurt Bollacker , David Kanter This is my paper · ORCID
classification cs.AIcs.LG
keywords speechdatasetwikimediaaudiodifferentlanguagestranscriptionstranslation
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The Speech Wikimedia Dataset is a publicly available compilation of audio with transcriptions extracted from Wikimedia Commons. It includes 1780 hours (195 GB) of CC-BY-SA licensed transcribed speech from a diverse set of scenarios and speakers, in 77 different languages. Each audio file has one or more transcriptions in different languages, making this dataset suitable for training speech recognition, speech translation, and machine translation models.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. LoRP-TTS: Low-Rank Personalized Text-To-Speech

    cs.SD 2025-02 conditional novelty 6.0 of 10

    LoRP-TTS shows that per-prompt LoRA fine-tuning with one short recording improves speaker similarity in Voicebox-based zero-shot TTS, at some cost in inference time.

Pith tools