metadata
license: mit
tags:
- coreml
- audio
- speech
- disfluency-detection
Clarity Filler Detector (Core ML, FP16)
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.
| 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 |
Licence
The model is released under the MIT licence; see LICENSE. Copyright (c) 2026 arkaydeus.
Training data attribution
- 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. 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. 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.
No corpus audio is distributed in this repository. No warranty is given by the licensors.