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Japanese Hubert Base

Developed by rinna
Japanese HuBERT base model trained by rinna Co., Ltd., based on approximately 19,000 hours of Japanese speech corpus ReazonSpeech v1.
Downloads 4,550
Release Time : 4/28/2023

Model Overview

This is a Japanese speech representation learning model based on the HuBERT architecture, primarily used for speech feature extraction and speech-related tasks.

Model Features

Japanese speech optimization
Specially trained and optimized for Japanese speech data
Large-scale training data
Trained using approximately 19,000 hours of Japanese speech corpus ReazonSpeech v1
HuBERT architecture
Adopts HuBERT's self-supervised learning architecture for speech representation learning through hidden unit masking prediction

Model Capabilities

Speech feature extraction
Speech representation learning

Use Cases

Speech processing
Speech feature extraction
Extract high-level feature representations from Japanese speech
Speech-related downstream tasks
Can be used as a pre-trained model for tasks such as speech recognition and speech classification
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