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espnet/SingingSDS

sourceHugging Faceupdated 10mo agoView on Hugging Face
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App README

SingingSDS: Role-Playing Singing Spoken Dialogue System

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A role-playing singing dialogue system that converts speech input into character-based singing output.

Paper ![Code](https://github.com/SingingSDS/SingingSDS) ![HuggingFace Demo](https://huggingface.co/spaces/espnet/SingingSDS) ![YouTube](https://www.youtube.com/playlist?list=PLZpUJJbwp2WvtPBenG5D3h09qKIrt24ui)

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πŸ“– Overview

SingingSDS is an innovative role-playing singing dialogue system that seamlessly converts natural speech input into character-based singing output. The system integrates automatic speech recognition (ASR), large language models (LLM), and singing voice synthesis (SVS) to create an immersive conversational singing experience.

<div align="center"> <img src="assets/demo.png" alt="SingingSDS Interface" style="max-width: 100%; height: auto;"/> <p><em>SingingSDS Web Interface: Interactive singing dialogue system with character visualization, audio I/O, evaluation metrics, and flexible configuration options.</em></p> </div>

πŸš€ Installation

Requirements

  • β€”Python 3.10 or 3.11
  • β€”CUDA (optional, for GPU acceleration)

Install Dependencies

Option 1: Using Conda (Recommended)
bash
conda create -n singingsds python=3.11

conda activate singingsds
conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
pip install -r requirements.txt
Option 2: Using uv (Fast & Modern)

First install uv:

bash
# On macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

# Or via pip:
pip install uv

Then install dependencies:

bash
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -r requirements.txt
Option 3: Using pip only
bash
pip install -r requirements.txt
Option 4: Using pip with virtual environment
bash
python -m venv singingsds_env

# On Windows:
singingsds_env\Scripts\activate
# On macOS/Linux:
source singingsds_env/bin/activate

pip install -r requirements.txt

πŸ’» Usage

Command Line Interface (CLI)

Example Usage
bash
python cli.py \
  --query_audio tests/audio/hello.wav \
  --config_path config/cli/yaoyin_default.yaml \
  --output_audio outputs/yaoyin_hello.wav \
  --eval_results_csv outputs/yaoyin_test.csv
Inference-Only Mode

Run minimal inference without evaluation.

bash
python cli.py \
  --query_audio tests/audio/hello.wav \
  --config_path config/cli/yaoyin_default_infer_only.yaml \
  --output_audio outputs/yaoyin_hello.wav
Parameter Description
  • β€”--query_audio: Input audio file path (required)
  • β€”--config_path: Configuration file path (default: config/cli/yaoyin_default.yaml)
  • β€”--output_audio: Output audio file path (required)

🌐 Web Interface (Gradio)

Start the web interface:

bash
python app.py

Then visit the displayed address in your browser to use the graphical interface.

πŸ’‘ Tip: You can also try our HuggingFace demo for a quick test without local installation!

βš™οΈ Configuration

Character Configuration

The system supports multiple preset characters:

  • β€”Yaoyin (ι₯音): Default timbre is timbre2
  • β€”Limei (δΈ½ζ’…): Default timbre is timbre1

Model Configuration

ASR Models
ModelDescription
openai/whisper-large-v3-turboLatest Whisper model with turbo optimization
openai/whisper-large-v3Large Whisper v3 model
openai/whisper-mediumMedium-sized Whisper model
openai/whisper-smallSmall Whisper model
funasr/paraformer-zhParaformer for Chinese ASR
LLM Models
ModelDescription
gemini-2.5-flashGoogle Gemini 2.5 Flash
google/gemma-2-2bGoogle Gemma 2B model
meta-llama/Llama-3.2-3B-InstructMeta Llama 3.2 3B Instruct
meta-llama/Llama-3.1-8B-InstructMeta Llama 3.1 8B Instruct
Qwen/Qwen3-8BQwen3 8B model
Qwen/Qwen3-30B-A3BQwen3 30B A3B model
MiniMaxAI/MiniMax-Text-01MiniMax Text model
SVS Models
ModelLanguage Support
espnet/visinger2-zh-jp-multisinger-svsBilingual (Chinese & Japanese)
espnet/aceopencpop_svs_visinger2_40singer_pretrainChinese

πŸ“ Project Structure

SingingSDS/
β”œβ”€β”€ app.py, cli.py               # Entry points (demo app & CLI)
β”œβ”€β”€ pipeline.py                  # Main orchestration pipeline
β”œβ”€β”€ interface.py                 # Gradio interface
β”œβ”€β”€ characters/                  # Virtual character definitions
β”œβ”€β”€ modules/                     # Core modules
β”‚   β”œβ”€β”€ asr/                     # ASR models (Whisper, Paraformer)
β”‚   β”œβ”€β”€ llm/                     # LLMs (Gemini, LLaMA, etc.)
β”‚   β”œβ”€β”€ svs/                     # Singing voice synthesis (ESPnet)
β”‚   └── utils/                   # G2P, text normalization, resources
β”œβ”€β”€ config/                      # YAML configuration files 
β”œβ”€β”€ data/                        # Dataset metadata and length info
β”œβ”€β”€ data_handlers/               # Parsers for KiSing, Touhou, etc.
β”œβ”€β”€ evaluation/                  # Evaluation metrics
β”œβ”€β”€ resources/                   # Singer embeddings, phoneme dicts, MIDI
β”œβ”€β”€ assets/                      # Character visuals
β”œβ”€β”€ tests/                       # Unit tests and sample audios
└── README.md, requirements.txt

🀝 Contributing

We welcome contributions! Please feel free to submit issues and pull requests.

πŸ“„ License

Character Assets

The Yaoyin (ι₯音) character assets, including `character_yaoyin.png` created by illustrator Zihe Zhou, are commissioned exclusively for the SingingSDS project. Screenshots of the system that include these assets, such as `demo.png`, are also covered under this license. The assets may be used only for direct derivatives of SingingSDS, such as project-related posts, usage videos, or other content directly depicting the project. Any other use requires express permission from the illustrator, and these assets may not be used for training, fine-tuning, or improving any artificial intelligence or machine learning models. For full license details, see `assets/character_yaoyin.LICENSE`.

Code License

All source code in this repository is licensed under the MIT License. This license applies only to the code. Character assets remain under their separate license and restrictions, as described in the Character Assets section.

Model License

The models used in SingingSDS are subject to their respective licenses and terms of use. Users must comply with each model’s official license, which can be found at the respective model’s official repository or website.


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Paper (Coming soon) β€’ Code β€’ Demo β€’ Video

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