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Hubert Base Superb Ic

Developed by superb
A speech intent classification model fine-tuned on the SUPERB intent classification task, based on the Hubert-Base-LS960 pre-trained model
Downloads 578
Release Time : 3/2/2022

Model Overview

This model is used for speech intent classification, categorizing speech inputs into predefined intent categories, including action, object, and location labels.

Model Features

Based on Hubert Pre-trained Model
Uses hubert-base-ls960 as the base model, featuring robust speech feature extraction capabilities
Multi-label Classification
Can simultaneously recognize action, object, and location intent labels in speech
High Accuracy
Achieves 98.34% accuracy on the Fluent Speech Commands dataset

Model Capabilities

Speech Intent Recognition
Multi-label Classification
Speech Feature Extraction

Use Cases

Smart Home Control
Voice-Controlled Appliances
Recognizes user commands for controlling smart home appliances
Accurately identifies actions (e.g., turn on/off), objects (e.g., lights/AC), and locations (e.g., living room/bedroom)
Voice Assistants
Understanding User Intent
Helps voice assistants comprehend the core intent of user requests
Improves the accuracy and naturalness of voice assistant interactions
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