Principle:Openai Openai python Audio Translation
| Knowledge Sources | |
|---|---|
| Domains | Audio, Translation |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
A cross-lingual speech processing technique that transcribes non-English audio directly into English text in a single step.
Description
Audio translation combines speech recognition and machine translation in a single model pass. Rather than first transcribing to the source language and then translating, the model directly produces English text from foreign-language audio. This approach leverages Whisper's multilingual training to handle diverse languages efficiently.
Usage
Use this principle when you have non-English audio and need English text output. It is more efficient than separate transcription and translation steps. Currently only translates to English.
Theoretical Basis
Translation uses a Sequence-to-Sequence cross-lingual model:
# Direct audio-to-English-text pipeline
english_text = translate(
audio_file=non_english_audio,
model=multilingual_model,
target_language="en" # Always English
)
# Model internally recognizes source language and produces English output
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