UniSpeech - Large Scale Self-Supervised Learning for Speech

Overview

UniSpeech

The family of UniSpeech:

WavLM (arXiv): WavLM: Large-Scale Self-Supervised Pre-training for Full Stack Speech Processing

UniSpeech (ICML 2021): Unified Pre-training for Self-Supervised Learning and Supervised Learning for ASR

UniSpeech-SAT (ICASSP 2022 Submission): Universal Speech Representation Learning with Speaker Aware Pre-Training

Update

Pre-trained models

We strongly suggest using our UniSpeech-SAT model for speaker related tasks, since it shows very powerful performance on various speaker related benchmarks.

Model Pretraining Dataset Finetuning Dataset Model
UniSpeech Large EN Labeled: 1350 hrs en - download
UniSpeech Large Multilingual Labeled: 1350 hrs en + 353 hrs fr + 168 hrs es + 90 hrs it - download
Unispeech Large+ Labeled: 1350 hrs en, Unlabeled: 353 hrs fr - download
UniSpeech Large+ Labeld: 1350 hrs en, Unlabeled: 168 hrs es - download
UniSpeech Large+ Labeled: 1350 hrs en, Unlabeld: 90 hrs it - download
UniSpeech Large Multilingual Labeled: 1350 hrs en + 353 hrs fr + 168 hrs es + 90 hrs it, Unlabeled: 17 hrs ky - download
UniSpeech Large+ Labeled: 1350 hrs en, Unlabeled: 353 hrs fr 1 hr fr download
UniSpeech Large+ Labeld: 1350 hrs en, Unlabeled: 168 hrs es 1 hr es download
UniSpeech Large+ Labeled: 1350 hrs en, Unlabeld: 90 hrs it 1 hr it download
UniSpeech Large Multilingual Labeled: 1350 hrs en + 353 hrs fr + 168 hrs es + 90 hrs it, Unlabeled: 17 hrs ky 1 hr ky download
UniSpeech-SAT Base 960 hrs LibriSpeech - download
UniSpeech-SAT Base+ 60k hrs Libri-Light + 10k hrs GigaSpeech + 24k hrs VoxPopuli - download
UniSpeech-SAT Large 60k hrs Libri-Light + 10k hrs GigaSpeech + 24k hrs VoxPopuli - download
WavLM Base 960 hrs LibriSpeech - Azure Storage
Google Drive
WavLM Base+ 60k hrs Libri-Light + 10k hrs GigaSpeech + 24k hrs VoxPopuli - Azure Storage
Google Drive
WavLM Large 60k hrs Libri-Light + 10k hrs GigaSpeech + 24k hrs VoxPopuli - Azure Storage
Google Drive

Universal Representation Evaluation on SUPERB

alt text

Downstream Task Performance

We also evaluate our models on typical speaker related benchmarks.

Speaker Verification

Model Fix pre-train Vox1-O Vox1-E Vox1-H
ECAPA-TDNN - 0.87 1.12 2.12
HuBERT large Yes 0.888 0.912 1.853
Wav2Vec2.0 (XLSR) Yes 0.915 0.945 1.895
UniSpeech-SAT large Yes 0.771 0.781 1.669
WavLM large Yes 0.638 0.687 1.457
HuBERT large No 0.585 0.654 1.342
Wav2Vec2.0 (XLSR) No 0.564 0.605 1.23
UniSpeech-SAT large No 0.564 0.561 1.23
WavLM large No 0.431 0.538 1.154

Our paper for verification

Speech Separation

Evaluation on LibriCSS

Model 0S 0L OV10 OV20 OV30 OV40
Conformer (SOTA) 4.5 4.4 6.2 8.5 11 12.6
UniSpeech-SAT base 4.4 4.4 5.4 7.2 9.2 10.5
UniSpeech-SAT large 4.3 4.2 5.0 6.3 8.2 8.8
WavLM base+ 4.5 4.4 5.6 7.5 9.4 10.9
WavLM large 4.2 4.1 4.8 5.8 7.4 8.5

Speaker Diarization

Evaluation on CALLHOME

Model spk_2 spk_3 spk_4 spk_5 spk_6 spk_all
EEND-vector clustering 7.96 11.93 16.38 21.21 23.1 12.49
EEND-EDA clustering (SOTA) 7.11 11.88 14.37 25.95 21.95 11.84
UniSpeech-SAT large 5.93 10.66 12.9 16.48 23.25 10.92
WavLM Base 6.99 11.12 15.20 16.48 21.61 11.75
WavLm large 6.46 10.69 11.84 12.89 20.70 10.35

License

This project is licensed under the license found in the LICENSE file in the root directory of this source tree. Portions of the source code are based on the FAIRSEQ project.

Microsoft Open Source Code of Conduct

Reference

If you find our work is useful in your research, please cite the following paper:

@inproceedings{Wang2021UniSpeech,
  author    = {Chengyi Wang and Yu Wu and Yao Qian and Kenichi Kumatani and Shujie Liu and Furu Wei and Michael Zeng and Xuedong Huang},
  editor    = {Marina Meila and Tong Zhang},
  title     = {UniSpeech: Unified Speech Representation Learning with Labeled and
               Unlabeled Data},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning,
               {ICML} 2021, 18-24 July 2021, Virtual Event},
  series    = {Proceedings of Machine Learning Research},
  volume    = {139},
  pages     = {10937--10947},
  publisher = {{PMLR}},
  year      = {2021},
  url       = {http://proceedings.mlr.press/v139/wang21y.html},
  timestamp = {Thu, 21 Oct 2021 16:06:12 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/0002WQK0WZ021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{Chen2021WavLM,
  title   = {WavLM: Large-Scale Self-Supervised  Pre-training   for Full Stack Speech Processing},
  author  = {Sanyuan Chen and Chengyi Wang and Zhengyang Chen and Yu Wu and Shujie Liu and Zhuo Chen and Jinyu Li and Naoyuki Kanda and Takuya Yoshioka and Xiong Xiao and Jian Wu and Long Zhou and Shuo Ren and Yanmin Qian and Yao Qian and Jian Wu and Michael Zeng and Furu Wei},
  eprint={2110.13900},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  year={2021}
}
@article{Chen2021UniSpeechSAT,
  title   = {UniSpeech-SAT: Universal Speech Representation Learning with  Speaker Aware Pre-Training},
  author  = {Sanyuan Chen and Yu Wu and Chengyi Wang and Zhengyang Chen and Zhuo Chen and Shujie Liu and   Jian Wu and Yao Qian and Furu Wei and Jinyu Li and  Xiangzhan Yu},
  eprint={2110.05752},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  year={2021}
}

Contact Information

For help or issues using UniSpeech models, please submit a GitHub issue.

For other communications related to UniSpeech, please contact Yu Wu ([email protected]).

Owner
Microsoft
Open source projects and samples from Microsoft
Microsoft
This is Assignment1 code for the Web Data Processing System.

This is a Python program to Entity Linking by processing WARC files. We recognize entities from web pages and link them to a Knowledge Base(Wikidata).

3 Dec 04, 2022
GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

GCRC GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Eva

Yunxiao Zhao 5 Nov 04, 2022
Simple GUI where you can enter an article and get a crisp summarized version.

Text-Summarization-using-TextRank-BART Simple GUI where you can enter an article and get a crisp summarized version. How to run: Clone the repo Instal

Rohit P 4 Sep 28, 2022
BERT score for text generation

BERTScore Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). News: Features to appear in

Tianyi 1k Jan 08, 2023
Open Source Neural Machine Translation in PyTorch

OpenNMT-py: Open-Source Neural Machine Translation OpenNMT-py is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine trans

OpenNMT 5.8k Jan 04, 2023
Mastering Transformers, published by Packt

Mastering Transformers This is the code repository for Mastering Transformers, published by Packt. Build state-of-the-art models from scratch with adv

Packt 195 Jan 01, 2023
TLA - Twitter Linguistic Analysis

TLA - Twitter Linguistic Analysis Tool for linguistic analysis of communities TLA is built using PyTorch, Transformers and several other State-of-the-

Tushar Sarkar 47 Aug 14, 2022
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.

T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep

Jeong Ukjae 13 Dec 13, 2022
A Chinese to English Neural Model Translation Project

ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C

Zhenbang Feng 29 Nov 26, 2022
NLP - Machine learning

Flipkart-product-reviews NLP - Machine learning About Product reviews is an essential part of an online store like Flipkart’s branding and marketing.

Harshith VH 1 Oct 29, 2021
Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline

Twitter-News-Summarizer Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline 1.) Extracts all tweets fr

Rohit Govindan 1 Jan 27, 2022
Simple multilingual lemmatizer for Python, especially useful for speed and efficiency

Simplemma: a simple multilingual lemmatizer for Python Purpose Lemmatization is the process of grouping together the inflected forms of a word so they

Adrien Barbaresi 70 Dec 29, 2022
In this repository we have tested 3 VQA models on the ImageCLEF-2019 dataset.

Med-VQA In this repository we have tested 3 VQA models on the ImageCLEF-2019 dataset. Two of these are made on top of Facebook AI Reasearch's Multi-Mo

Kshitij Ambilduke 8 Apr 14, 2022
تولید اسم های رندوم فینگیلیش

karafs کرفس تولید اسم های رندوم فینگیلیش installation ➜ pip install karafs usage دو زبانه ➜ karafs -n 10 توت فرنگی بی ناموس toot farangi-ye bi_namoos

Vaheed NÆINI (9E) 36 Nov 24, 2022
CorNet Correlation Networks for Extreme Multi-label Text Classification

CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel

Guangxu Xun 38 Dec 31, 2022
Linear programming solver for paper-reviewer matching and mind-matching

Paper-Reviewer Matcher A python package for paper-reviewer matching algorithm based on topic modeling and linear programming. The algorithm is impleme

Titipat Achakulvisut 66 Jul 05, 2022
A relatively simple python program to generate one of those reddit text to speech videos dominating youtube.

Reddit text to speech generator A basic reddit tts video generator Current functionality Generate videos for subs based on comments,(askreddit) so rea

Aadvik 17 Dec 19, 2022
This is my reading list for my PhD in AI, NLP, Deep Learning and more.

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Zhong Peixiang 156 Dec 21, 2022
Open source code for AlphaFold.

AlphaFold This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP

DeepMind 9.7k Jan 02, 2023