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Assignment1 Omar

Developed by Classroom-workshop
Wav2Vec2 is a self-supervised learning-based speech recognition model, pre-trained and fine-tuned on 960 hours of LibriSpeech audio data, supporting English speech transcription.
Downloads 28
Release Time : 6/2/2022

Model Overview

This model achieves efficient automatic speech recognition by learning robust representations from raw speech audio and fine-tuning through transcribed speech.

Model Features

Self-supervised Learning
Reduces reliance on large amounts of labeled data by learning representations from raw speech audio.
Efficient Fine-tuning
Achieves high-performance speech recognition even with limited labeled data.
Multi-scenario Applicability
Performs well in both clean and noisy speech environments.

Model Capabilities

English Speech Recognition
Audio Transcription
Speech-to-Text

Use Cases

Speech Transcription
Meeting Minutes
Automatically transcribe meeting recordings into text
Subtitle Generation
Generate subtitles for video content
Voice Assistants
Voice Command Recognition
Recognize user voice commands
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