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Wav2vec2 Base Intent Classification Ori

Developed by MuhammadIqbalBazmi
This model is a fine-tuned version of facebook/wav2vec2-base on the intent-dataset for intent classification tasks.
Downloads 18
Release Time : 10/11/2022

Model Overview

A wav2vec2-base fine-tuned intent classification model achieving 91.67% accuracy on the evaluation set.

Model Features

High Accuracy
Achieved 91.67% accuracy on the evaluation set.
Fine-tuned on wav2vec2-base
Utilizes the pre-trained wav2vec2-base model for fine-tuning to enhance intent classification performance.

Model Capabilities

Speech Intent Classification
Speech Feature Extraction

Use Cases

Voice Assistant
Voice Command Recognition
Recognizes user voice command intents.
High-accuracy intent classification
Smart Customer Service
Customer Intent Understanding
Understands the intent behind customer voice queries.
Improves response accuracy of customer service systems
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