Prompts Audio Speech synthesis

Fully Automated Video Dubbing Pipeline with IndexTTS 2.5

Prompt Edit here before copy/try — source content is unchanged

1. Audio extraction and separation: Use BS-RoFormer to separate vocal/dialogue and background stems from the original mixed audio track
2. Transcription: Use Qwen3-ASR to transcribe source speech (prioritizing separated vocals)
3. Speaker diarization: Nemotron 3 Diarization identifies different speakers and their speaking times
4. Word alignment and segmentation: Qwen3 Forced Aligner provides word timestamps, which are combined with speaker turns, pauses, and punctuation to build timed dialogue segments
5. Translation: A local LLM translates the dialogue into the target language, considering context and the available duration for each segment
6. Voice generation: IndexTTS 2.5 synthesizes the translated lines using source speech as the voice and emotion reference
7. Automatic timing adjustment: Measure generated speech against its time slot, adjust native speaking speed, and apply bounded time-stretch correction when needed
8. Mixing and export: Place the generated dialogue on the video timeline, mix with the separated background, and export the video

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source_video target_language translation_model tts_model

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Usage & requirements

Execute each step in sequence to achieve automated video dubbing from source to target language

Tools: BS-RoFormer Qwen3-ASR Nemotron 3 Diarization Qwen3 Forced Aligner IndexTTS 2.5
Variables: source_video target_language translation_model tts_model
Source: r/TextToSpeech ↗

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