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Wav2vec2 Base Intent Classification Ori F1

Developed by MuhammadIqbalBazmi
This model is a speech intent classification model fine-tuned from facebook/wav2vec2-base, achieving an F1 score of 0.875 on the evaluation set.
Downloads 14
Release Time : 10/12/2022

Model Overview

A speech intent classification model based on the wav2vec2 architecture, designed to recognize intent categories in speech.

Model Features

High-Precision Intent Recognition
Achieves an F1 score of 0.875 on the evaluation set, demonstrating excellent performance.
Based on wav2vec2 Architecture
Uses facebook/wav2vec2-base as the base model, featuring powerful speech feature extraction capabilities.
Efficient Training
Optimizes the training process using techniques like gradient accumulation.

Model Capabilities

Speech Intent Classification
Speech Feature Extraction

Use Cases

Voice Assistants
Voice Command Recognition
Identifies the intent category of user voice commands.
High accuracy with an F1 score of 0.875.
Customer Service
Automatic Voice Response
Automatically classifies intent based on customer speech content.
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