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Wav2vec2 Base Timit Test3

Developed by Brokette
A speech recognition model fine-tuned based on facebook/wav2vec2-base, with unspecified training dataset details
Downloads 22
Release Time : 4/7/2022

Model Overview

This model is a speech recognition model based on the wav2vec2 architecture, suitable for audio-to-text tasks.

Model Features

Based on wav2vec2 Architecture
Uses Facebook's open-source wav2vec2-base model as the foundational architecture
Fine-tuned Version
Fine-tuned on the base model, though the specific dataset is not clearly specified
Speech Recognition Capability
Capable of converting speech audio into text

Model Capabilities

Speech Recognition
Audio-to-Text Conversion

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Voice Notes
Convert voice memos into searchable text
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