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Wav2vec2 Base Timit Demo Colab70
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Wav2vec2 Base Timit Demo Colab70

Developed by hassnain
This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, primarily used for English speech-to-text tasks.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Low Word Error Rate#TIMIT Dataset
Downloads 15
Release Time : 5/1/2022

Model Overview

This is an automatic speech recognition (ASR) model based on the wav2vec2 architecture, fine-tuned on the TIMIT dataset, capable of converting English speech into text.

Model Features

Based on wav2vec2 Architecture
Uses Facebook's wav2vec2-base as the base model, with excellent speech feature extraction capabilities
Fine-tuned on TIMIT Dataset
Fine-tuned on the standard TIMIT speech dataset, optimizing English speech recognition performance
Medium-sized Model
Based on the base version of wav2vec2, achieving a balance between performance and resource consumption

Model Capabilities

English Speech Recognition
Speech-to-Text
Continuous Speech Recognition

Use Cases

Speech Transcription
English Speech Transcription
Convert English speech content into text format
Word Error Rate (WER) 0.5149
Voice Assistants
Voice Command Recognition
Recognize and understand English voice commands
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