Spaces:
Sleeping
Sleeping
| 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. | |