This example transcribes a chinese audio file using Whisper to its source language in TXT, VTT and SRT formats.
Then uses DeepL API to translate the generated transcripts to english.
task: Transcribe
audio_file: chinese.wav
use_model: large-v2
language: Auto-Detect (Chinese)
Detected language: Chinese
[00:00.600 --> 00:04.120] 院子门口不远处就是一个地铁站
[00:04.140 --> 00:06.720] 这是一个美丽而神奇的景象
[00:07.760 --> 00:10.520] 树上长满了又大又甜的桃子
[00:11.520 --> 00:14.600] 海豚和鲸鱼的表演是很好看的节目
[00:14.600 --> 00:19.400] 邮局门前的棱形道上有一个蓝色的邮箱
output_formats: txt,vtt,srt
audio_transcription/chinese.txt
audio_transcription/chinese.vtt
audio_transcription/chinese.srt
deepl_target_language: English (British)
deepl_coherence_preference: Share context between lines
DeepL: Translate results from Chinese [ZH] to English (British) [EN-GB]
[00:00.600 --> 00:04.120] There is a tube station not far from the entrance to the yard
[00:04.140 --> 00:06.720] It is a beautiful and magical sight
[00:07.760 --> 00:10.520] The trees are full of big, sweet peaches
[00:11.520 --> 00:14.600] The dolphin and whale shows are great to watch
[00:14.600 --> 00:19.400] There is a blue mailbox on the ribbed path in front of the post office
audio_transcription/chinese_English (British).txt