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Wav2vec2 Base Finetuned Amd

Developed by justin1983
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset, primarily used for speech recognition tasks, achieving an accuracy of 84.55% on the evaluation set.
Downloads 14
Release Time : 5/5/2023

Model Overview

A speech recognition model fine-tuned based on the wav2vec2-base architecture, suitable for automatic speech-to-text tasks.

Model Features

High Accuracy
Achieves an accuracy of 84.55% on the evaluation set, demonstrating excellent performance.
Based on wav2vec2 Architecture
Utilizes the proven wav2vec2-base architecture, which has strong speech feature extraction capabilities.
Fine-tuned Optimization
Targeted fine-tuning on the base model, potentially optimized for specific domains or accents.

Model Capabilities

Speech Recognition
Audio-to-Text Conversion
Automatic Speech Transcription

Use Cases

Speech Transcription
Meeting Minutes
Automatically transcribe meeting recordings into text records
Accuracy: 84.55%
Voice Assistant
Serve as the backend recognition engine for voice assistants
Accessibility Applications
Real-time Caption Generation
Provide real-time captioning services for the hearing impaired
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