ACE-Step Transcriber is the annotation model used by
ACE-Step v1.5
for training data labeling. It is a powerful multilingual audio transcription model capable of transcribing both
speech
and
singing voice
with high accuracy.
Key Features
🌍
50+ Languages Support
- Covers major world languages and regional dialects
The model outputs structured content in the following format:
# Languages
<language_code>
# Lyrics
[Section Tag - Optional Instrument]
<transcribed content>
...
Example Output
# Languages
en
# Lyrics
[Intro - Acoustic Guitar]
[Verse 1]
Walking down the empty street tonight
Stars are shining oh so bright
...
[Chorus]
This is where we belong
Singing our favorite song
...
Supported Section Tags
[Intro]
,
[Outro]
[Verse 1]
,
[Verse 2]
, etc.
[Chorus]
,
[Pre-Chorus]
,
[Post-Chorus]
[Bridge]
[Guitar Interlude]
,
[Instrumental]
[Spoken]
Supported Languages (50+)
The model supports transcription in over 50 languages, including but not limited to:
Region
Languages
East Asia
Chinese (zh), Japanese (ja), Korean (ko)
Southeast Asia
Vietnamese (vi), Thai (th), Indonesian (id), Malay (ms), Filipino (tl)
South Asia
Hindi (hi), Bengali (bn), Tamil (ta), Urdu (ur)
Europe
English (en), German (de), French (fr), Spanish (es), Italian (it), Portuguese (pt), Russian (ru), Polish (pl), Dutch (nl), Greek (el), Turkish (tr)
Middle East
Arabic (ar), Hebrew (he), Persian (fa)
Others
And many more regional languages...
Use Cases
Music Production
- Transcribe reference tracks for lyrics extraction
Dataset Creation
- Generate high-quality labeled data for music AI models
Accessibility
- Create subtitles and captions for audio content
Music Analysis
- Extract structural information from songs
Runs of ACE-Step acestep-transcriber on huggingface.co
3.1K
Total runs
-69
24-hour runs
-113
3-day runs
-354
7-day runs
-236
30-day runs
More Information About acestep-transcriber huggingface.co Model
acestep-transcriber huggingface.co is an AI model on huggingface.co that provides acestep-transcriber's model effect (), which can be used instantly with this ACE-Step acestep-transcriber model. huggingface.co supports a free trial of the acestep-transcriber model, and also provides paid use of the acestep-transcriber. Support call acestep-transcriber model through api, including Node.js, Python, http.
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ACE-Step acestep-transcriber online free url in huggingface.co:
acestep-transcriber is an open source model from GitHub that offers a free installation service, and any user can find acestep-transcriber on GitHub to install. At the same time, huggingface.co provides the effect of acestep-transcriber install, users can directly use acestep-transcriber installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
acestep-transcriber install url in huggingface.co: