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Assignment1 Francesco

Developed by Classroom-workshop
An automatic speech recognition (ASR) model trained based on Speech-to-Text Transformer (S2T), specifically designed for English speech recognition
Downloads 22
Release Time : 6/2/2022

Model Overview

This model is an end-to-end sequence-to-sequence transformer model trained using standard autoregressive cross-entropy loss, capable of converting English speech into text

Model Features

End-to-End Speech Recognition
Directly generates text from speech features without intermediate processing steps
Transformer-Based Architecture
Utilizes advanced sequence-to-sequence transformer models to provide high-quality speech recognition
Autoregressive Generation
Generates transcriptions autoregressively to ensure coherence

Model Capabilities

English Speech Recognition
End-to-End Speech-to-Text
Real-Time Speech Transcription

Use Cases

Speech Transcription
Meeting Minutes
Automatically converts meeting recordings into text transcripts
Podcast Transcription
Converts English podcast content into text format
Assistive Technology
Real-Time Caption Generation
Provides real-time English captions for videos or live streams
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