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Hubert Base Audioset

Developed by ALM
Audio representation model based on HuBERT architecture, pre-trained on the complete AudioSet dataset, suitable for general audio tasks
Downloads 345
Release Time : 8/29/2023

Model Overview

This model adopts the HuBERT architecture, pre-trained on the complete AudioSet dataset, capable of extracting general audio features and applicable to various audio processing tasks

Model Features

Pre-trained on complete AudioSet dataset
Pre-trained using the complete AudioSet dataset, covering a wide range of audio categories
General audio representation
The learned features are applicable to various audio tasks, including music classification and acoustic event detection
Advantages of HuBERT architecture
Utilizes HuBERT's self-supervised learning framework to effectively capture latent features of audio signals

Model Capabilities

Audio feature extraction
Music classification
Acoustic event detection
Speech recognition assistance

Use Cases

Audio analysis
Music genre classification
Extract music audio features for genre classification
Environmental sound recognition
Identify specific sound events in the environment
Speech processing
Speech recognition assistance
Serve as a front-end feature extractor for speech recognition systems
Performance may be inferior to dedicated speech models
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