A simple Speech Emotion Recognization (SER) project based on Wav2Vec2.

Application to search for similar sound effects by voice and title.

Speaker recognition task using wav2vec2 model.

This repository contains the implementation of our published paper titled 'Improving Automatic Speech Recognition with Dialect-Specific Language Models,' presented at SPECOM'23.

Spoken NER implementation based on Wav2Vec2-XLS-R with experiments on transfer learning

🤗 Voice assistant built in Python with NLP & wav2vec2.

A modular codebase to process audio dataset, generate custom tokenizer, finetune and infer wav2vec2 model on custom dataset.

Material for my lecture on Automatic Speech Recognition

AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP

Automatic Subtitle Generation for Bengali Multimedia Using Deep Learning.

This repository is an implementation of the Wav2Vec2 model for converting speech into text through a series of speech recognition, noise removal and STT to transcribe the text from a video file.

A Python tool for transcribing speech from audio files using the Wav2Vec 2.0 model. Supports multilingual transcription, automatic audio chunking, and easy setup

The project,being part of Kagglex BIPOC Mentorship Program final project, aims to train two separate Hindi ASR models using the Facebook Wav2Vec2 (300M parameters) and OpenAI Whisper-Small models, respectively. The goal is to compare their performance, with a target WER of less than 13%, across various Hindi accents and dialects.

Accent Classification Dissertation Project

Implementation of Wav2Vec2

Performing audio transcription using the Wav2Vec2 model trained on the Common Voice dataset 13 for Indonesian.

Convert speech to text using HuggingFace, comparing Wav2Vec2 versus OpenAI Whisper

AI model for speech disorder detection