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hykilpikonna merged 3 commits into from
Nov 22, 2023
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Update README.md #8

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Update README.md
yc-li20 Nov 22, 2023
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Merge pull request #1 from yc-li20/yc-li20-patch-2
yc-li20 Nov 22, 2023
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yc-li20 Nov 22, 2023
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Expand Up @@ -22,6 +22,10 @@ You can listen to audio samples of per-song FAD outliers on the online demo here
| [VGGish](https://github.com/tensorflow/models/blob/master/research/audioset/vggish/README.md) | `vggish` | Audio feature classification embedding | Google |
| [DAC](https://github.com/descriptinc/descript-audio-codec) | `dac-44kHz` | High-Fidelity Audio Compression with Improved RVQGAN | Descript |
| [CDPAM](https://github.com/pranaymanocha/PerceptualAudio) | `cdpam-{acoustic/content}` | Contrastive learning-based Deep Perceptual Audio Metric | Pranay Manocha et al. |
| [Wav2vec 2.0](https://github.com/facebookresearch/fairseq/blob/main/examples/wav2vec/README.md) | `w2v2-{base/large}` | Wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations | Facebook/Meta Research |
| [HuBERT](https://github.com/facebookresearch/fairseq/blob/main/examples/hubert/README.md) | `hubert-{base/large}` | HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units | Facebook/Meta Research |
| [WavLM](https://github.com/microsoft/unilm/tree/master/wavlm) | `wavlm-{base/base-plus/large}` | WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing | Microsoft |
| [Whisper](https://github.com/openai/whisper) | `whisper-{tiny/base/small/medium/large}` | Robust Speech Recognition via Large-Scale Weak Supervision | OpenAI |

## 0x01. Installation

Expand Down Expand Up @@ -179,7 +183,11 @@ Please also cite the FMA (Free Music Archive) dataset if you used FMA-Pop as you
* Encodec from Facebook: [facebookresearch/encodec](https://github.com/facebookresearch/encodec/)
* CLAP: [microsoft/CLAP](https://github.com/microsoft/CLAP)
* CLAP from LAION: [LAION-AI/CLAP](https://github.com/LAION-AI/CLAP)
* MERT from M-A-P: [m-a-p/MERT](m-a-p/MERT-v1-95M)
* MERT from M-A-P: [m-a-p/MERT](https://huggingface.co/m-a-p/MERT-v1-95M)
* Wav2vec 2.0: [facebookresearch/wav2vec 2.0](https://github.com/facebookresearch/fairseq/blob/main/examples/wav2vec/README.md)
* HuBERT: [facebookresearch/HuBERT](https://github.com/facebookresearch/fairseq/blob/main/examples/hubert/README.md)
* WavLM: [microsoft/WavLM](https://github.com/microsoft/unilm/tree/master/wavlm)
* Whisper: [OpenAI/Whisper](https://github.com/openai/whisper)
* VGGish in PyTorch: [harritaylor/torchvggish](https://github.com/harritaylor/torchvggish)
* Free Music Archive: [mdeff/fma](https://github.com/mdeff/fma)
* Frechet Inception Distance implementation: [mseitzer/pytorch-fid](https://github.com/mseitzer/pytorch-fid)
Expand Down