Datasets:
what string | source string | scoring string | page string | clips list |
|---|---|---|---|---|
"Burncaps speech service (Microsoft MAI-Transcribe, North Europe) on 240 Google FLEURS test clips, 2(...TRUNCATED) | "Google FLEURS, test split, licensed CC-BY-4.0 (https://huggingface.co/datasets/google/fleurs). The (...TRUNCATED) | "Words and letters wrong = edit distance after lower-casing and removing brackets and punctuation. w(...TRUNCATED) | https://burncaps.app/indian-language-speech-to-text-accuracy | [{"language":"Hindi","code":"hi","fleurs_file":"google/fleurs hi_in test id 1766 file 10011266027513(...TRUNCATED) |
Speech service errors on FLEURS, 12 Indian languages
Speech service errors on 240 FLEURS clips in 12 Indian languages. Each row is one Google FLEURS test clip (20 per language: Hindi, Urdu, Bengali, Tamil, Telugu, Gujarati, Marathi, Kannada, Malayalam, Punjabi, Nepali, Odia), the reference sentence, the text a speech service heard (Microsoft MAI-Transcribe through the Burncaps speech service, North Europe, measured 16 October 2026), the language it found by itself, and the words and letters it got wrong. Scoring: edit distance after lower-casing and removing brackets and punctuation, so a number written as a word or a joined compound counts as wrong. Read speech, not casual talk; FLEURS may be in a vendor's training data. Mean of the twelve languages: 17.0 words wrong in 100 and 5.1 letters wrong in 100; language found correctly in 240 of 240 clips. The method, the table and the on-device comparison: https://burncaps.app/indian-language-speech-to-text-accuracy. Source audio and sentences: Google FLEURS (https://huggingface.co/datasets/google/fleurs), CC-BY-4.0. Published by Burncaps (Jordan Labs Ltd, London, company no. 17358646), hello@burncaps.app.
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