Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks

Related tags

Text Data & NLP wav2vec_finetune
Overview

wav2vec_finetune

Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks

  • Initial test: gender recognition on this dataset.
  • Finetune for autism detection
  • [] Clean up directory
  • [] Make training and evaluation scripts runnable with cmd line / shell scripts
  • [] Add random noise on training samples
  • [] Make baseline models
# make virtual env
pip install -r requirements.txt

mkdir data
mkdir preproc_data
mkdir model
cd data
wget https://zenodo.org/record/1219621/files/CaFE_48k.zip?download=1
unzip the file 

python preproc.py
python train.py
python evaluate.py

Updates

  • 11/9: success! Trained a sex classifier on a small dataset that performs soso. Everything seems to work though.

TODO

  • Chunk audio files - make predictions in batches of e.g. 5 seconds
  • Set up benchmark models

Resources:

Notes:

  • Look into SpecAugment for finetuning: https://arxiv.org/abs/1904.08779 (on by default)
  • How to make the prediction?
    • Better way than a small feedforward projection? (LSTM or something?)
You might also like...
Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

null 3 May 19, 2022
Official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.
Official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

vanint 101 Dec 30, 2022
HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools

HuggingSound HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools. I have no intention of building a very complex tool here.

Jonatas Grosman 247 Dec 26, 2022
Installation, test and evaluation of Scribosermo speech-to-text engine

Scribosermo STT Setup Scribosermo is a LGPL licensed, open-source speech recognition engine to "Train fast Speech-to-Text networks in different langua

Florian Quirin 3 Jun 20, 2022
Text vectorization tool to outperform TFIDF for classification tasks
Text vectorization tool to outperform TFIDF for classification tasks

WHAT: Supervised text vectorization tool Textvec is a text vectorization tool, with the aim to implement all the "classic" text vectorization NLP meth

null 186 Dec 29, 2022
Text vectorization tool to outperform TFIDF for classification tasks
Text vectorization tool to outperform TFIDF for classification tasks

WHAT: Supervised text vectorization tool Textvec is a text vectorization tool, with the aim to implement all the "classic" text vectorization NLP meth

null 160 Feb 9, 2021
Universal End2End Training Platform, including pre-training, classification tasks, machine translation, and etc.

背景 安装教程 快速上手 （一）预训练模型 （二）机器翻译 （三）文本分类 TenTrans 进阶 1. 多语言机器翻译 2. 跨语言预训练 背景 TrenTrans是一个统一的端到端的多语言多任务预训练平台，支持多种预训练方式，以及序列生成和自然语言理解任务。 安装教程 git clone git

Tencent Minority-Mandarin Translation Team 42 Dec 20, 2022
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

⚠️ Checkout develop branch to see what is coming in pyannote.audio 2.0: a much smaller and cleaner codebase Python-first API (the good old pyannote-au

pyannote 2.2k Jan 9, 2023
In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

End to End Automatic Speech Recognition In this repository, I have developed an end to end Automatic speech recognition project. I have developed the

Victor Basu 22 Nov 13, 2022
Comments
  • [WIP] add text-based model

    [WIP] add text-based model

    Submitting a new PR for this (will close the previous one - it's obsolete given new data) .

    So far I've made a first draft of preprocessing and of the training script.

    There's a couple of outstanding issues such as:

    • defining which models to use first (Roberta-XLM and Ælectra were our first choices, but I see there's a bunch of new DK models on the hub);
    • there's a few issues with missing data and inconsistent coding in the transcripts. We could maybe discuss these points in the next virtual meeting/hackathon.

    NB: not yet sure if it makes sense to keep this in the same repo (overlap in data/model use will probably only be on using the same train/val/test ids but it's one project so it may make sense). We can decide later.

    opened by rbroc 2
Owner
PhD student in machine learning for healthcare at Aarhus University
null
GitHub
A collection of scripts to preprocess ASR datasets and finetune language-specific Wav2Vec2 XLSR models

wav2vec-toolkit A collection of scripts to preprocess ASR datasets and finetune language-specific Wav2Vec2 XLSR models This repository accompanies the

Anton Lozhkov 29 Oct 23, 2022
A minimal code for fairseq vq-wav2vec model inference.

vq-wav2vec inference A minimal code for fairseq vq-wav2vec model inference. Runs without installing the fairseq toolkit and its dependencies. Usage ex

Vladimir Larin 7 Nov 15, 2022
MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking.

MILES Multilingual Lexical Simplifier Explore the docs » Read LSBert Paper · Report Bug · Request Feature About The Project MILES is a multilingual te

Kane 45 Oct 19, 2022
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!

Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co

null 19 Jun 30, 2022
TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks, which unifies general text transformation, task-specific transformation, adversarial attack, sub-population, and their combinations to provide a comprehensive robustness analysis.

TextFlint 587 Dec 20, 2022
Scikit-learn style model finetuning for NLP

Scikit-learn style model finetuning for NLP Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide vari

indico 665 Dec 17, 2022
Scikit-learn style model finetuning for NLP

Scikit-learn style model finetuning for NLP Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide vari

indico 631 Feb 2, 2021
Code for "Finetuning Pretrained Transformers into Variational Autoencoders"

transformers-into-vaes Code for Finetuning Pretrained Transformers into Variational Autoencoders (our submission to NLP Insights Workshop 2021). Gathe

Seongmin Park 22 Nov 26, 2022
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models

Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models

Zhenhailong Wang 2 Jul 15, 2022
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).

XLM-EMO: Multilingual Emotion Prediction in Social Media Text Abstract Detecting emotion in text allows social and computational scientists to study h

MilaNLP 35 Sep 17, 2022