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| title: LocalVQE Demo | |
| emoji: 🎙️ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| python_version: "3.12" | |
| pinned: false | |
| license: apache-2.0 | |
| models: | |
| - LocalAI-io/LocalVQE | |
| # LocalVQE Demo | |
| Interactive demo for [LocalAI-io/LocalVQE](https://huggingface.co/LocalAI-io/LocalVQE) — | |
| a 1.3 M-parameter open-source model that does acoustic echo | |
| cancellation, noise suppression, and dereverberation on CPU in a | |
| single causal pass. | |
| Pick one of the bundled examples or upload your own `(mic, | |
| far-end-reference)` 16 kHz wav pair. For a pure noise-suppression | |
| test, upload silence (or nothing) as the reference. | |
| Built with Gradio. Inference runs on CPU and takes a few seconds per | |
| 10-second clip on the Space's default tier. | |
| Code: [github.com/localai-org/LocalVQE](https://github.com/localai-org/LocalVQE) · | |
| Training: [github.com/localai-org/LocalVQE-train](https://github.com/localai-org/LocalVQE-train). | |