Mindket

Japanese Voice Recognition

Newversion 1 · updated

Overview

Turns Japanese speech into text with a wav2vec2 model whose name points to hiragana output. For people who want to try Japanese speech recognition in a browser.

Japanese Voice Recognition is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Nothing to install if you use the Space online
  • Python, if you run a copy on your own computer
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Your own computer, on Windows, macOS or Linux
Start with
pip install -U huggingface_hub
hf download Detomo/voice-japanese --repo-type space --local-dir voice-japanese
cd voice-japanese

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a Japanese speech recognition demo from Detomo. It names one model, a wav2vec2 large XLSR checkpoint from vumichien, whose name points to hiragana output. The README holds only the standard Space settings text, so the demo itself is described by its files and model name.

Who it suits

It suits people who want to see Japanese speech turned into text, and learners or developers who want a small example to build from.

IndustryWho uses itHow they use itExample
EducationJapanese learnersCheck how spoken Japanese is written outSpeak a sentence and read the text that comes back
ResearchSpeech researchersTry a Japanese recognition modelRun a sample clip and review the result
DevelopmentDevelopersTest a model before building an app around itRun a clip from the samples folder
MediaEditorsDraft a transcript from Japanese audioGet a rough text to correct by hand

You can skip it if you need a language other than Japanese or a recognizer with published accuracy figures.

Where to use it

  • A web browser, on the Space's page at Hugging Face
  • Your own computer, on Windows, macOS or Linux
Use caseWhoWhat they get back
Transcribe a clipLearners and researchersJapanese text from speech
Try the samplesNewcomersA quick look at output from the sample files
Test a modelDevelopersA feel for how the hiragana model behaves

How to set it up

  • Nothing to install if you use the Space online
  • Python, if you run a copy on your own computer
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  1. Open the Space's page on Hugging Face to use it online.
  2. To run a copy, install huggingface_hub and download the Space into a folder.
  3. Move into that folder and install the pinned Gradio version, then the listed packages.
  4. Start the app with Python.
pip install -U huggingface_hub
hf download Detomo/voice-japanese --repo-type space --local-dir voice-japanese
cd voice-japanese
pip install gradio==3.8
pip install -r requirements.txt
python app.py

How to use it

Open the Space and give it Japanese speech. The README gives no steps, so follow the page's own controls. The repository has a samples folder to try. On your own copy, start the app with this command and open the local page Gradio prints.

python app.py

Example

Open the Space online and run it on a clip from the samples folder. You get back Japanese text, which the model name suggests is written in hiragana.

For newcomers and experts

If you are new, try a sample clip first and compare the text with what you hear. Hiragana is one of the Japanese writing systems, so the result may read differently from usual written Japanese.

If you know the field, the Space wraps a single wav2vec2 large XLSR model fine-tuned for Japanese hiragana in an older Gradio 3.8 app. The README gives no training data, error rates or limits, so test on your own audio before relying on it.

  1. You give the app Japanese audio
  2. The wav2vec2 XLSR model reads the sound
  3. The app returns text in hiragana

Good to know

  • License: apache-2
  • Cost to run: none named. The online Space runs on Hugging Face.
  • Data it reaches: the audio you give it, and the model it names on Hugging Face.

README and files

README

Japanese Voice Recognition

Turns Japanese speech into text with a wav2vec2 model whose name points to hiragana output. For people who want to try Japanese speech recognition in a browser.

Made by Detomo on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a Japanese speech recognition demo from Detomo. It names one model, a wav2vec2 large XLSR checkpoint from vumichien, whose name points to hiragana output. The README holds only the standard Space settings text, so the demo itself is described by its files and model name.

Who it suits: It suits people who want to see Japanese speech turned into text, and learners or developers who want a small example to build from.

Industry | Who uses it | How they use it | Example
Education | Japanese learners | Check how spoken Japanese is written out | Speak a sentence and read the text that comes back
Research | Speech researchers | Try a Japanese recognition model | Run a sample clip and review the result
Development | Developers | Test a model before building an app around it | Run a clip from the samples folder
Media | Editors | Draft a transcript from Japanese audio | Get a rough text to correct by hand

You can skip it if you need a language other than Japanese or a recognizer with published accuracy figures.

Where to use it:

  • A web browser, on the Space's page at Hugging Face
  • Your own computer, on Windows, macOS or Linux
Use case | Who | What they get back
Transcribe a clip | Learners and researchers | Japanese text from speech
Try the samples | Newcomers | A quick look at output from the sample files
Test a model | Developers | A feel for how the hiragana model behaves

How to set it up:

  • Nothing to install if you use the Space online
  • Python, if you run a copy on your own computer
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  1. Open the Space's page on Hugging Face to use it online.
  2. To run a copy, install huggingface_hub and download the Space into a folder.
  3. Move into that folder and install the pinned Gradio version, then the listed packages.
  4. Start the app with Python.
pip install -U huggingface_hub
hf download Detomo/voice-japanese --repo-type space --local-dir voice-japanese
cd voice-japanese
pip install gradio==3.8
pip install -r requirements.txt
python app.py

How to use it: Open the Space and give it Japanese speech. The README gives no steps, so follow the page's own controls. The repository has a samples folder to try. On your own copy, start the app with this command and open the local page Gradio prints.

python app.py

Example: Open the Space online and run it on a clip from the samples folder. You get back Japanese text, which the model name suggests is written in hiragana.

For newcomers and experts: If you are new, try a sample clip first and compare the text with what you hear. Hiragana is one of the Japanese writing systems, so the result may read differently from usual written Japanese.

If you know the field, the Space wraps a single wav2vec2 large XLSR model fine-tuned for Japanese hiragana in an older Gradio 3.8 app. The README gives no training data, error rates or limits, so test on your own audio before relying on it.

You give the app Japanese audio
The wav2vec2 XLSR model reads the sound
The app returns text in hiragana

Good to know:

  • License: apache-2
  • Cost to run: none named. The online Space runs on Hugging Face.
  • Data it reaches: the audio you give it, and the model it names on Hugging Face.

On Hugging Face, 13 November 2026

  • Likes: 4
  • Built with: gradio
  • License: apache-2.0

Links

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Japanese Voice Recognition This page4gradioapache-2.0
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Diffusers Image OutpaintShares gradio2,565gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

Nanosaur2-670M

well9472 · Kit

Makes illustrations from text prompts with a small 670M-parameter diffusion model, run through ComfyUI. Built as a low-budget research model for people who wan…

New

Reads handwritten Arabic text from images and returns it as text. A fine-tuned PaddleOCR-VL model for people digitizing Arabic handwriting.

New

Makes video clips from a text prompt or an image plus text, at up to 720P and 24 frames per second, in the Diffusers format for a single consumer GPU.

New

Similar in Productivity

See all in Productivity

Generates short 480P videos from a text prompt with the small 1.3B Wan2.1 model, packaged for the diffusers library. Runs on a consumer graphics card with abou…

New

Dulu Malayalam ASR

serendipitylabs · Kit

Turns spoken Malayalam into text on a CPU or a CUDA GPU, as an early research release from Serendipity Labs. For people who want draft transcripts of short, cl…

New

Turns plain home commands such as turn off the TV into structured tool calls, checking device states first. A 350M model for smart home builders and tinkerers.

New