NVIDIA Releases Nemotron 3.5 Transcribe for 40 Languages
NVIDIA’s Nemotron 3.5 Transcribe handles hour-long recordings in 40 languages, including Russian, with speaker labels, translation and English audio Q&A.
Word error rate, abbreviated WER, measures speech-recognition accuracy by comparing a transcript with a reference. It counts substitutions, deletions, and insertions, then divides their total by the number of words in the reference. A lower score usually indicates a closer transcription, although WER does not capture every practical difference: punctuation, speaker labels, proper names, and a single critical number may matter more than several harmless wording changes. Scores also vary with accents, noise, microphones, vocabulary, and normalization rules. Teams therefore report WER alongside subgroup testing and task-specific measures that reflect whether users can successfully understand or act on the transcript.
NVIDIA’s Nemotron 3.5 Transcribe handles hour-long recordings in 40 languages, including Russian, with speaker labels, translation and English audio Q&A.
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