# Japanese Speech Recognition

This model is a Japanese automatic speech recognition (ASR) model based on the FastConformer architecture, developed by NVIDIA and converted to MLX format.

This is a Japanese automatic speech recognition (ASR) model based on the Whisper architecture, converted to CTranslate2 format for improved inference efficiency.

A Japanese speech recognition model fine-tuned on the Common Voice 17.0 dataset based on openai/whisper-small

A Japanese automatic speech recognition model fine-tuned on the large-scale Japanese ASR corpus ReazonSpeech v2.0, based on the wav2vec 2.0 Large architecture

A Whisper speech recognition model optimized for CTranslate2, specifically tailored for Japanese, providing efficient speech-to-text functionality.

Kotoba-Whisper-v2.1 is a Japanese automatic speech recognition (ASR) model based on Whisper, integrating an additional post-processing stack that automatically adds punctuation marks.

A speech recognition model fine-tuned on the Common Voice 16.1 Japanese dataset based on openai/whisper-large-v3, trained for 4000 steps

Nue ASR is an end-to-end Japanese speech recognition model that integrates pre-trained speech and language models, offering high accuracy and fast recognition speed.

This is the CTranslate2 converted version of the whisper-large-v2-mix-jp model, suitable for Japanese speech recognition tasks

A Japanese automatic speech recognition (ASR) model based on Whisper Large V2, optimized with CTranslate2 for efficient inference.

This model is fine-tuned on the Common Voice, JVS, and JSUT datasets for Japanese speech recognition tasks using openai/whisper-base.

Japanese speech recognition model fine-tuned on the common_voice_11_0 dataset based on openai/whisper-medium

A Japanese automatic speech recognition model fine-tuned using the training set of Common Voice 7.0 (Japanese version), based on the facebook/wav2vec2-large-it-voxpopuli model.

A Japanese automatic speech recognition model fine-tuned based on the microsoft/unispeech-sat-large model, trained using the Common Voice 7.0 Japanese dataset.

A Japanese automatic speech recognition model fine-tuned based on microsoft/wavlm-large, trained using the Common Voice 7.0 Japanese dataset

A Japanese automatic speech recognition model fine-tuned using the Common Voice 7.0 (Japanese) dataset, based on the microsoft/unispeech-large-1500h-cv model

Japanese automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, trained using Common Voice 7.0 Japanese dataset

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on public Japanese speech datasets, supporting automatic speech recognition tasks in Japanese.

Japanese speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampling rate audio input

This is a Japanese automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, specifically designed for transcribing Japanese audio into Hiragana text.

A Japanese automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53 using the Common Voice and JSUT datasets.

A fine-tuned model based on facebook/wav2vec2-large-xlsr-53 for Japanese speech recognition tasks.

A Japanese speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting hiragana output

This is an automatic speech recognition (ASR) model fine-tuned on the Japanese Common Voice 8.0 dataset based on facebook/wav2vec2-xls-r-300m, supporting Japanese speech-to-text functionality.

Japanese speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, supports 16kHz sampling rate input