# Japanese speech feature extraction

Japanese wav2vec2.0 Large model pre-trained on large-scale Japanese TV broadcast audio data

A Japanese HuBERT Large model pre-trained on 62,215 hours of Japanese TV broadcast audio data for speech feature extraction

Japanese speech feature extraction model pre-trained on 62,215 hours of Japanese TV broadcast audio data

Japanese wav2vec 2.0 base model trained by rinna Co., Ltd., based on ReazonSpeech dataset

Japanese HuBERT base model trained by rinna Co., Ltd., based on approximately 19,000 hours of Japanese speech corpus ReazonSpeech v1.