Principle:Togethercomputer Together python Audio Translation
| Knowledge Sources | |
|---|---|
| Domains | Audio, Translation |
| Last Updated | 2026-02-15 16:00 GMT |
Overview
Principle for translating audio content from any supported language into English text using speech recognition and translation models.
Description
Audio translation combines speech recognition with translation to convert audio in a source language directly to English text. This differs from transcription (which preserves the source language) by always producing English output regardless of input language. The underlying model handles both recognition and translation in a single pass.
Usage
Apply this principle when you need to convert non-English audio to English text, such as translating foreign-language interviews, meetings, or media content.
Theoretical Basis
Audio translation extends speech recognition with cross-lingual transfer:
Pseudo-code Logic:
# Abstract audio translation pipeline
english_text = translate_audio(
audio=source_audio,
model=multilingual_asr_model,
source_language=lang_hint, # optional
)
Key considerations:
- Source Language Hint: Providing ISO-639-1 code improves accuracy
- Single-Pass Translation: Model handles recognition and translation jointly
- Output Language: Always English (target language is fixed)
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