---
license: mit
pipeline_tag: audio-text-to-text
library_name: transformers
base_model: ACE-Step/acestep-transcriber
base_model_relation: quantized
tags:
- music
- audio
- quantized
- fp8
- compressed-tensors
---

<a href="https://arxiv.org/abs/2602.00744">Tech Report</a>

# ACE-Step Transcriber

This is an FP8 Dynamic quantized variant of [ACE-Step/acestep-transcriber](https://huggingface.co/ACE-Step/acestep-transcriber).

## Description

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
- 🎤 **Speech Transcription** - Accurately transcribes spoken content
- 🎵 **Singing Voice Transcription** - Specialized in lyrics transcription with musical structure annotations
- 🏷️ **Structure Annotation** - Automatically identifies song sections (verse, chorus, bridge, etc.)

## Usage

The usage is the same as [Qwen2.5 Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B).

### Prompt Format

Use the following prompt to transcribe audio:

```
*Task* Transcribe this audio in detail
<audio>
```

### Output Format

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