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Kushinada Hubert Base

Developed by imprt
Japanese speech feature extraction model pre-trained on 62,215 hours of Japanese TV broadcast audio data
Downloads 1,922
Release Time : 3/7/2025

Model Overview

This is a HuBERT base model specifically designed for Japanese speech, pre-trained on large-scale Japanese TV broadcast audio data, suitable for speech feature extraction tasks.

Model Features

Large-scale pre-training data
Pre-trained on 62,215 hours of Japanese TV broadcast audio data to ensure deep understanding of Japanese speech
Professional speech feature extraction
Optimized based on HuBERT architecture, specifically designed for extracting high-level feature representations of Japanese speech
TV broadcast domain adaptation
Training data comes from TV broadcasts, providing good adaptability to formal spoken language and broadcast speech

Model Capabilities

Japanese speech feature extraction
Voice activity detection
Speech representation learning

Use Cases

Speech processing
Speech recognition preprocessing
Used as a front-end feature extraction module for Japanese speech recognition systems
Speech content analysis
Used to analyze speech features in TV broadcast content
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