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Wav2vec2 Base Finetuned Ks

Developed by marcatanante1
A speech recognition model fine-tuned on the superb dataset based on facebook/wav2vec2-base, achieving 98.34% accuracy
Downloads 13
Release Time : 3/19/2023

Model Overview

This model is a fine-tuned version of wav2vec2-base, specifically designed for speech recognition tasks, excelling in Keyword Spotting (KS) tasks

Model Features

High Accuracy
Achieves 98.34% accuracy on the evaluation set
Based on wav2vec2 Architecture
Uses facebook's wav2vec2-base as the base model
Fine-tuned on superb Dataset
Specially fine-tuned on the superb dataset

Model Capabilities

Speech Recognition
Keyword Detection

Use Cases

Voice Interaction
Smart Home Control
Used to recognize keywords in user voice commands
High accuracy in recognizing specific commands
Voice Assistant
Detects wake words or specific commands
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