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Voicenter

VoicenterTeam

Models in Library1
Datasets in Library0
Models on Hugging Face4
Followers6

Compare the published evidence

This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Speech recognition.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Speech recognition

whisper-heb-v8-multi

Voicenter

whisper-heb-v7-multi (Hebrew / English / Arabic / Russian / Yiddish with built-in language ID) plus speech-free negatives: the model has learned to answer with nothing on line noise, hold music, tones and silence instead of inventing words. Same architecture (Whisper large-v3-turbo, 809M), same languages, same usage; drop-in replacement for v7. On telephony audio Whisper fine-tunes hallucinate short phrases when there is no speech. v7 produced a transcript for 98% of real line-noise clips (27% of them "תודה רבה") and 46% of synthetic noise. v8 was warm-started from v7 and trained 5,000 steps on the v7 corpus plus 83,920 speech-free rows (real Voicenter line noise ×4, synthetic…

Open weights apache-2.0 809M parameters transformers