wav2vec2
There are 4 repositories under wav2vec2 topic.
PaddlePaddle / PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
Language:Python 12345- s3prlLanguage:Python 2470
audeering / w2v2-how-to
How to use our public wav2vec2 dimensional emotion model
Language:Jupyter Notebook 529oliverguhr / wav2vec2-live
A live speech recognition using Facebooks wav2vec 2.0 model.
Language:Python 373- vid2cleantxt
pszemraj / vid2cleantxt
Python API & command-line tool to easily transcribe speech-based video files into clean text
Language:Jupyter Notebook 215 inboxpraveen / LLM-Minutes-of-Meeting
🎤📄 An innovative tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription! 🚀
Language:Python 155khanld / ASR-Wav2vec-Finetune
:zap: Finetune Wa2vec 2.0 For Speech Recognition
Language:Python 141habla-liaa / ser-with-w2v2
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
Language:Jupyter Notebook 137- ASR
tuanio / noisy-student-training-asr
Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem
Language:Python 97thevasudevgupta / gsoc-wav2vec2
GSoC'2021 | TensorFlow implementation of Wav2Vec2
Language:Jupyter Notebook 90Telegram-Zalo / zac2022-lyric-alignment
Solution for Zalo AI Challenge 2022 - Lyrics Alignment
Language:Python 68mikezzb / lyrics-sync
A deep learning lyrics-to-audio alignment system, generating synchronized lyrics from a song and its lyrics
Language:Jupyter Notebook 56Wav2vec 2.0 Self-Supervised Pretraining
Language:Python 55lstrgar / self-supervised-phone-segmentation
Phoneme segmentation using pre-trained speech models
Language:Python 55mmakiuchi / multimodal_emotion_recognition
Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in the ASRU 2021 conference.
Language:Python 53- MiniASR
vectominist / MiniASR
A mini, simple, and fast end-to-end automatic speech recognition toolkit.
Language:Jupyter Notebook 53 HarunoriKawano / Wav2vec2.0
Implementation of the paper "wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" in Pytorch.
Language:Python 52pooya-mohammadi / audio-classification-pytorch
In this project, several approaches for training/finetuning an audio gender recognition is provided. The code can simply be used for any other audio classification task by simply changing the number of classes and the input dataset.
Language:Jupyter Notebook 44- Language:Python 40
ECNU-Cross-Innovation-Lab / ShiftSER
[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Language:Python 39ttop32 / wav2vec2-live-japanese-translator
real time japanese speech recognition translator using wav2vec2
Language:Jupyter Notebook 39Hamtech-ai / wav2vec2-fa
fine-tune Wav2vec2. an ASR model released by Facebook
Language:Jupyter Notebook 38lucasgris / wav2vec4bp
Wav2vec resources and models for Brazilian Portuguese
Language:Jupyter Notebook 35hammaad2002 / ASRAdversarialAttacks
An ASR (Automatic Speech Recognition) adversarial attack repository.
adversarial-attacksadversarial-machine-learningasrcarlini-wagnercarlini-wagner-attackfgsm-attackpgd-adversarial-attackspgd-attackprojected-gradient-desentwav2vec2huggingfacehuggingface-libraryhuggingface-transformerhuggingface-transformerstransformerstransformers-librarytransformers-modeltransformers-modelsLanguage:Jupyter Notebook 33mpoyraz / wav2vec2-turkish
Turkish Speech Recognition using Facebook's Wav2vec 2.0 models
Language:Python 31egorsmkv / asr-corpus-creator
This app is intended to automatically create a corpus for ASR systems using pseudo-labeling.
Language:Python 27[ICASSP 2024] Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition
Language:Python 25daanzu / wav2vec2_stt_python
Simple Python library, distributed via binary wheels with few direct dependencies, for easily using wav2vec 2.0 models for speech recognition
Language:Python 24yamahigashi / Wav2Vec2FBX
Recognize speech from an audio file and convert it into animation FBX
Language:Python 24JuJu2181 / Automatic-Nepali-Speech-Recognition-and-Summarizer
A system capable of converting Nepali speech to text and generate summary of text
Language:Jupyter Notebook 21AmirAbaskohi / Automatic-Speech-recognition-for-Speech-Assessment-of-Persian-Preschool-Children
Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas that should be tested is their ability to speak. Employing an Automatic Speech Recognition (ASR) system would not help since they are pre-trained on voices that differ from children's in terms of frequency and amplitude. Because most of these are pre-trained with data in a specific range of amplitude, their objectives do not make them ready for voices in different amplitudes. To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2.0 model called Random Frequency Pitch (RFP). In addition, we used our newly introduced dataset to fine-tune our model for Meaningless Words (MW) and Rapid Automatic Naming (RAN) tests. Using masking in concatenation with RFP outperforms the masking objective of Wav2Vec 2.0 by reaching a Word Error Rate (WER) of 1.35. Our new approach reaches a WER of 6.45 on the Persian section of the CommonVoice dataset. Furthermore, our novel methodology produces positive outcomes in zero- and few-shot scenarios.
Language:Jupyter Notebook 20Sreyan88 / Toxicity-Detection-in-Spoken-Utterances
This repository contains the code for the paper: "DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances"
Language:Jupyter Notebook 19- WOLOF-ASR-Wav2Vec2
kingabzpro / WOLOF-ASR-Wav2Vec2
Audio Preprocessing and finetuning of wav2vec2-large-xlsr model on AI4D Baamtu Datamation - Automatic Speech Recognition in WOLOF Data.
Language:Jupyter Notebook 17 jmaczan / asr-dysarthria
Research on Automatic Speech Recognition for dysarthric speech
Language:Jupyter Notebook 15
