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diffsingerminiengine's Introduction

DiffSingerMiniEngine

A minimum inference engine for DiffSinger MIDI-less mode.

Getting Started

  1. Install onnxruntime following the official guidance.
  2. Install other dependencies with pip install PyYAML soundfile.
  3. Download ONNX version of the NSF-HiFiGAN vocoder from here and unzip it into assets/vocoder directory.
  4. Download an ONNX rhythm predictor from here and put it into assets/rhythmizer directory.
  5. Put your ONNX acoustic models into assets/acoustic directory.
  6. Edit configs/default.yaml or create another config file according to your preference and local environment.
  7. Run server with python server.py or python server.py --config <YOUR_CONFIG>.

API Specification

TBD

How to Obtain Acoustic Models

  1. Train with your own dataset or download pretrained checkpoints from here.
  2. Export PyTorch checkpoints to ONNX format. See instructions here.

diffsingerminiengine's People

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diffsingerminiengine's Issues

Please update this so it works for latest generation diffsinger models that have linguistic.onnx models

So it looks like newer generation diffsinger models now have linguistic models that take in tokens, word divisions and word durations where the output is encoder_out and x_masks which then feed to the duration.onnx model

Example below(please tell me the if zeroes are needed in the below example)
results = linguistic_model.run(None, {
"tokens":[[26, 1, 22, 35, 11]] ,
"word_div": [[3,2,0,0,0]],
"word_dur": [[48,24,0,0,0]]
})

Happy to get your thoughts, thank you!

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