Spaces:
Running on Zero
Running on Zero
| title: "VoiceFixer" | |
| emoji: 🩹 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.24.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Restores degraded speech of any kind | |
| tags: | |
| - category:enhancement | |
| - subcategory:restoration | |
| - input:audio | |
| - output:audio | |
| - sample-rate:44100 | |
| - channels:mono | |
| - speech | |
| # VoiceFixer | |
| VoiceFixer aims to restore human speech regardless how serious its degraded. It can handle noise, reverberation, low resolution (2kHz~44.1kHz) and clipping (0.1-1.0 threshold) effect within one model. | |
| A HARP deployment. See https://github.com/TEAMuP-dev/HARP | |