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| license: mit |
| tags: |
| - coreml |
| - audio |
| - speech |
| - disfluency-detection |
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| # Clarity Filler Detector (Core ML, FP16) |
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| Finds filler words ("um", "uh") and stutters in speech for Clarity Sound Studio, a free, open-source macOS app. The app shows each detection for review and cuts the ones the user approves. |
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| | File | `FillerDetector-v3.mlpackage`, version 3.1.0 (ML Program, FP16, macOS 14+) | |
| | Model | A 6.6 M-parameter Conformer over log-mel frames, with a small tree scorer (stored in the model's `fusion` metadata) that combines its output with the transcript | |
| | Training | From scratch on the AMI training split and the ICSI Meeting Corpus (128.5 h), with reverberation augmentation from OpenSLR SLR28 | |
| | Results | On the AMI test split (10.4 h, 2,805 fillers), counting a detection that overlaps a label: 85.1% precision, 83.0% recall | |
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| ## Licence |
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| The model is released under the MIT licence; see `LICENSE`. Copyright (c) 2026 arkaydeus. |
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| ## Training data attribution |
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| - **AMI Meeting Corpus** (© the AMI Consortium and the University of Edinburgh), <https://groups.inf.ed.ac.uk/ami/corpus/>, used under the [Creative Commons Attribution 4.0 International licence](https://creativecommons.org/licenses/by/4.0/). The audio and annotations were cut, relabelled and augmented for training. |
| - **ICSI Meeting Corpus** (© the International Computer Science Institute, Berkeley; release distributed by the University of Edinburgh), <https://groups.inf.ed.ac.uk/ami/icsi/>, used under the [Creative Commons Attribution 4.0 International licence](https://creativecommons.org/licenses/by/4.0/). The audio and annotations were cut, relabelled and augmented for training. |
| - **OpenSLR SLR28** simulated room impulse responses, <https://www.openslr.org/28/> (T. Ko, V. Peddinti, D. Povey, M. L. Seltzer and S. Khudanpur, ICASSP 2017), under the Apache License 2.0, for augmentation. |
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| No corpus audio is distributed in this repository. No warranty is given by the licensors. |
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