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update_files (#2)
Browse files- files added (11b15ddffff9cd12297afb0da579eadd43c99321)
Co-authored-by: Susnato Dhar <[email protected]>
- README.md +65 -10
- config.json +2 -1
- generation_config.json +30 -0
- preprocessor_config.json +6 -3
- pytorch_model.bin +2 -2
- tokenizer_config.json +8 -0
README.md
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---
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tags:
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- piano cover generation
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datasets:
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- PSP
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references:
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- https://arxiv.org/abs/2211.00895
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---
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---
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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/model-cards
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{}
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---
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# POP2PIANO
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Pop2Piano, a Transformer network that generates piano covers given waveforms of pop
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music.
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# Model Details
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Pop2Piano was proposed in the paper [Pop2Piano : Pop Audio-based Piano Cover Generation](https://arxiv.org/abs/2211.00895) by Jongho Choi and Kyogu Lee.
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Inspired by [T5](https://arxiv.org/abs/1910.10683), Pop2Piano
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is the first model to generate a piano cover directly from pop audio without using melody and
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chord extraction modules.
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## Model Sources
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- [**Original Repository**](https://github.com/sweetcocoa/pop2piano)
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- [**Paper**](https://arxiv.org/abs/2211.00895)
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- [**Demo**]# TODO (after the ongoing PR is merged)
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# Usage
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First, install the required packages:
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```
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pip install --upgrade transformers
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```
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## Pop music to Piano
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TODO (after the ongoing PR is merged)
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## Example
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### Pop Music
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<audio controls>
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<source src="https://datasets-server.huggingface.co/assets/sweetcocoa/pop2piano_ci/--/sweetcocoa--pop2piano_ci/test/0/audio/audio.mp3" type="audio/mpeg">
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Your browser does not support the audio element.
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</audio>
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### Generated MIDI
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TODO (after the MIDI version is uploaded to the same repo above)
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## Tips
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TODO
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# Citation
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**BibTeX:**
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```
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@misc{choi2023pop2piano,
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title={Pop2Piano : Pop Audio-based Piano Cover Generation},
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author={Jongho Choi and Kyogu Lee},
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year={2023},
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eprint={2211.00895},
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archivePrefix={arXiv},
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primaryClass={cs.SD}
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}
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```
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config.json
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"n_fft":4096,
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"hop_length":1024,
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"f_min":10.0,
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"n_mels":512
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}
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"n_fft":4096,
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"hop_length":1024,
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"f_min":10.0,
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"n_mels":512,
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"composer_vocab_size":21
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}
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"return_dict_in_generate": false,
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"max_length": 256,
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"composer_to_feature_token":{
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"composer1": 2052,
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"composer2": 2053,
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"composer3": 2054,
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"composer20": 2071,
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"composer21": 2072
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}
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}
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preprocessor_config.json
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"start_token_id": 0,
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"target_length": 256,
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"input_length": 1024,
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"
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"sampling_rate": 22050,
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"use_mel": true,
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"mel_is_conditioned": true,
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"padding_value": 0,
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"eos_token_id": 1,
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"vocab_size_special": 4,
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"vocab_size_note": 128,
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"vocab_size_velocity": 2,
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"vocab_size_time": 100
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}
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"start_token_id": 0,
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"target_length": 256,
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"input_length": 1024,
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"num_bars": 2,
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"sampling_rate": 22050,
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"mel_is_conditioned": true,
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"padding_value": 0,
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"eos_token_id": 1,
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"vocab_size_special": 4,
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"vocab_size_note": 128,
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"vocab_size_velocity": 2,
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"vocab_size_time": 100,
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"window_size":4096,
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"hop_length":1024,
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"min_frequency":10.0,
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"feature_size":512
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ebff90f182961d1dc7c8cf481289b5c926610fe89993b5b02f1a61fb29dfa45
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size 236483933
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tokenizer_config.json
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{
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"tokenizer_class": "Pop2PianoTokenizer",
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"vocab_size_special" : 4,
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"vocab_size_note" : 128,
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"vocab_size_velocity" : 2,
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"vocab_size_time" : 100,
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"num_bars" : 2
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}
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