Charsiu: A transformer-based phonetic aligner

Related tags

Deep Learningcharsiu
Overview

Charsiu: A transformer-based phonetic aligner [arXiv]

Note. This is a preview version. The aligner is under active development. New functions, new languages and detailed documentation will be added soon!

Intro

Charsiu is a phonetic alignment tool, which can:

  • recognise phonemes in a given audio file
  • perform forced alignment using phone transcriptions created in the previous step or provided by the user.
  • directly predict the phone-to-audio alignment from audio (text-independent alignment)

Fun fact: Char Siu is one of the most representative dishes of Cantonese cuisine 🍲 (see wiki).

Tutorial (In progress)

You can directly run our model in the cloud via Google Colab!

  • Forced alignment: Open In Colab
  • Textless alignmnet: Open In Colab

Development plan

  • Package
Items Progress
Documentation Nov 2021
Textgrid support Nov 2021
Model compression TBD
  • Multilingual support
Language Progress
English (American)
Mandarin Chinese Nov 2021
Spanish Dec 2021
English (British) TBD
Cantonese TBD
AAVE TBD

Pretrained models

Our pretrained models are availble at the HuggingFace model hub: https://huggingface.co/charsiu.

Dependencies

pytorch
transformers
datasets
librosa
g2pe
praatio

Training

Coming soon!

Finetuning

Coming soon!

Attribution and Citation

For now, you can cite this tool as:

@article{zhu2019charsiu,
  title={Phone-to-audio alignment without text: A Semi-supervised Approach},
  author={Zhu, Jian and Zhang, Cong and Jurgens, David},
  journal={arXiv preprint arXiv:????????????????????},
  year={2021}
 }

Or

To share a direct web link: https://github.com/lingjzhu/charsiu/.

References

Transformers
s3prl
Montreal Forced Aligner

Disclaimer

This tool is a beta version and is still under active development. It may have bugs and quirks, alongside the difficulties and provisos which are described throughout the documentation. This tool is distributed under MIT liscence. Please see license for details.

By using this tool, you acknowledge:

  • That you understand that this tool does not produce perfect camera-ready data, and that all results should be hand-checked for sanity's sake, or at the very least, noise should be taken into account.

  • That you understand that this tool is a work in progress which may contain bugs. Future versions will be released, and bug fixes (and additions) will not necessarily be advertised.

  • That this tool may break with future updates of the various dependencies, and that the authors are not required to repair the package when that happens.

  • That you understand that the authors are not required or necessarily available to fix bugs which are encountered (although you're welcome to submit bug reports to Jian Zhu ([email protected]), if needed), nor to modify the tool to your needs.

  • That you will acknowledge the authors of the tool if you use, modify, fork, or re-use the code in your future work.

  • That rather than re-distributing this tool to other researchers, you will instead advise them to download the latest version from the website.

... and, most importantly:

  • That neither the authors, our collaborators, nor the the University of Michigan or any related universities on the whole, are responsible for the results obtained from the proper or improper usage of the tool, and that the tool is provided as-is, as a service to our fellow linguists.

All that said, thanks for using our tool, and we hope it works wonderfully for you!

Support or Contact

Please contact Jian Zhu ([email protected]) for technical support.
Contact Cong Zhang ([email protected]) if you would like to receive more instructions on how to use the package.

Owner
jzhu
Michigan Linguistics
jzhu
Learning To Have An Ear For Face Super-Resolution

Learning To Have An Ear For Face Super-Resolution [Project Page] This repository contains demo code of our CVPR2020 paper. Training and evaluation on

50 Nov 16, 2022
DeepFashion2 is a comprehensive fashion dataset.

DeepFashion2 Dataset DeepFashion2 is a comprehensive fashion dataset. It contains 491K diverse images of 13 popular clothing categories from both comm

switchnorm 1.8k Jan 07, 2023
Source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree.

self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might

Andrea Palazzi 2.4k Dec 29, 2022
Complex-Valued Neural Networks (CVNN)Complex-Valued Neural Networks (CVNN)

Complex-Valued Neural Networks (CVNN) Done by @NEGU93 - J. Agustin Barrachina Using this library, the only difference with a Tensorflow code is that y

youceF 1 Nov 12, 2021
"Learning Free Gait Transition for Quadruped Robots vis Phase-Guided Controller"

PhaseGuidedControl The current version is developed based on the old version of RaiSim series, and possibly requires further modification. It will be

X-Mechanics 12 Oct 21, 2022
Meandering In Networks of Entities to Reach Verisimilar Answers

MINERVA Meandering In Networks of Entities to Reach Verisimilar Answers Code and models for the paper Go for a Walk and Arrive at the Answer - Reasoni

Shehzaad Dhuliawala 271 Dec 13, 2022
Evaluating deep transfer learning for whole-brain cognitive decoding

Evaluating deep transfer learning for whole-brain cognitive decoding This README file contains the following sections: Project description Repository

Armin Thomas 5 Oct 31, 2022
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

Unseen Object Clustering: Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation Introduction In this work, we propose a new method

NVIDIA Research Projects 132 Dec 13, 2022
[ACM MM 2021] Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

Diverse Image Inpainting with Bidirectional and Autoregressive Transformers Installation pip install -r requirements.txt Dataset Preparation Given the

Yingchen Yu 25 Nov 09, 2022
PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to handle and build

simple, elegant and safe Introduction PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to ha

Johnsz 2 Mar 02, 2022
Meta Learning for Semi-Supervised Few-Shot Classification

few-shot-ssl-public Code for paper Meta-Learning for Semi-Supervised Few-Shot Classification. [arxiv] Dependencies cv2 numpy pandas python 2.7 / 3.5+

Mengye Ren 501 Jan 08, 2023
Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

UncertaintyAwareCycleConsistency This repository provides the building blocks and the API for the work presented in the NeurIPS'21 paper Robustness vi

EML Tübingen 19 Dec 12, 2022
Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding (CVPR2022)

Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding by Qiaole Dong*, Chenjie Cao*, Yanwei Fu Paper and Supple

Qiaole Dong 190 Dec 27, 2022
DLL: Direct Lidar Localization

DLL: Direct Lidar Localization Summary This package presents DLL, a direct map-based localization technique using 3D LIDAR for its application to aeri

Service Robotics Lab 127 Dec 16, 2022
Pseudo-Visual Speech Denoising

Pseudo-Visual Speech Denoising This code is for our paper titled: Visual Speech Enhancement Without A Real Visual Stream published at WACV 2021. Autho

Sindhu 94 Oct 22, 2022
Experiments for Operating Systems Lab (ETCS-352)

Operating Systems Lab (ETCS-352) Experiments for Operating Systems Lab (ETCS-352) performed by me in 2021 at uni. All codes are written by me except t

Deekshant Wadhwa 0 Sep 06, 2022
YOLOV4运行在嵌入式设备上

在嵌入式设备上实现YOLO V4 tiny 在嵌入式设备上实现YOLO V4 tiny 目录结构 目录结构 |-- YOLO V4 tiny |-- .gitignore |-- LICENSE |-- README.md |-- test.txt |-- t

Liu-Wei 6 Sep 09, 2021
PyTorch implementation of ENet

PyTorch-ENet PyTorch (v1.1.0) implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation, ported from the lua-torc

David Silva 333 Dec 29, 2022
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

About PyTorch 1.2.0 Now the master branch supports PyTorch 1.2.0 by default. Due to the serious version problem (especially torch.utils.data.dataloade

Sanghyun Son 2.1k Jan 01, 2023
A collection of Google research projects related to Federated Learning and Federated Analytics.

Federated Research Federated Research is a collection of research projects related to Federated Learning and Federated Analytics. Federated learning i

Google Research 483 Jan 05, 2023