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Audio & Voice AI

Asmr Dubber

ASMR Dubber is an open-source desktop application that translates Japanese, English or Chinese audio and video into Chinese or English dubbed audio and subtitles. Its workflow combines speech recognition, translation, voice generation, mixing and export, with options for voice cloning, bilingual output and subtitle-only export.

Independent OpenViST project profile, based on linked sources.

Asmr Dubber — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a desktop pipeline is needed to translate supported-language audio or video into Chinese or English speech or subtitles, especially when sentence-level text editing, bilingual mixing or batch processing is useful.

Who it is for

  • People preparing Chinese or English dubbed versions of Japanese, English or Chinese audio or video.
  • Users who need translated subtitles without generating speech.
  • Audio producers who want a bilingual mix, a separate dubbed track or batch processing for multiple tracks.

Documented uses

  • Recognize and translate speech in supported source-language media.
  • Generate translated speech, including voice-cloned dubbing from a source reference sentence.
  • Mix translated speech with the original, with optional spatial-cue processing.
  • Export dubbed media, a separate speech track, or translated subtitles.
  • Process multiple audio tracks from a work folder in a batch.
Before you choose

Requirements & limits

The README documents Windows 10/11 and Linux x86_64 support. The Windows release can be launched without separately installing Python. Translation setup requires an API key for DeepSeek or another provider; Edge TTS requires an internet connection.

  • Local-model processing is described as keeping content on the device; cloud translation sends dialogue text, and cloud speech generation sends translated text and reference audio to the provider.
  • IndexTTS2 voice cloning is described as running on the user’s GPU. Edge TTS provides online fixed-voice generation without a GPU, while CPU recognition is slower.
  • Recognition and translation can be skipped when the corresponding source or translated subtitles are available.
  • Voice separation and replacement output are experimental and may leave original speech or damage sound effects.
  • API keys are stored in plain text in the application configuration folder; the README advises not to share that folder.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up a Japanese-to-Chinese dubbing project on Windows

Install the packaged application, obtain its initial models, configure translation and start the documented four-stage workflow.

Before you start

  • A Windows 10 or 11 computer.
  • An API key for DeepSeek or another translation provider.
  • An internet connection to download the release, models and configure the cloud translation service.

Steps

  1. Download the release archive, extract it to a short-path folder and launch ASMR-Dubber.exe.

  2. On the Models page, select the combined download for Parakeet Japanese recognition and IndexTTS2 voice cloning.

  3. In Settings → Cloud Services, enter a translation API key.

  4. On the Project page, add the audio, select the source and dubbing languages, then follow recognition, translation, dubbing and export.

Expected outcome

A project configured to process Japanese audio into Chinese dubbed output and proceed through the application’s recognition, translation, dubbing and export stages.

Guide limitations

  • This setup follows the README’s Japanese-to-Chinese example; English or Chinese source audio uses Faster-Whisper for recognition.
  • Voice cloning with IndexTTS2 is described as running on the user’s GPU. Without a GPU, the README recommends Edge TTS for fixed-voice speech generation and CPU recognition, which is slower.
  • Using cloud services sends dialogue text, and cloud speech generation also sends translated text and reference audio to providers.
  • Voice separation and replacement output are experimental and may leave original speech or affect sound effects.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
EveningStudy/asmr-dubber · Official homepage title · retained in its source language