---
title: LambdaAudio v6
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.27.0
python_version: 3.12
app_file: app.py
pinned: false
models:
  - KeisukeMiyamoto/lambda-audio-v6
short_description: Japanese speech recognition with Silero VAD
---

# LambdaAudio v6

A simple Japanese speech recognition demo powered by
[LambdaAudio v6](https://huggingface.co/KeisukeMiyamoto/lambda-audio-v6).
Upload or record Japanese audio, then select **文字起こし** (maximum file size: 200 MB).
Audio up to 30 seconds is transcribed directly. Longer recordings are segmented
with Silero VAD into speech clips of at most 30 seconds, using a 3-second silence
threshold, and transcribed in batches of four. Results appear in chronological
order as each batch finishes.

This Space uses **ZeroGPU**, with one recording at a time and a separate GPU
allocation for each batch. GPU availability
and usage limits depend on the visitor's Hugging Face account.

The FP16 Safetensors checkpoint is loaded into FP32 model parameters for inference.
Audio and transcripts are not added to a dataset. Gradio temporary files are
cleaned hourly once they are at least one hour old.

## Deployment

Select ZeroGPU hardware and set `HF_TOKEN` as a Space secret. Upload this file as
`README.md`, `src/space/app.py` as `app.py`, `src/space/requirements.txt` as
`requirements.txt`, and the required Python modules under `src/`.
Never upload `.env` or local training artifacts.