Blame for README.md

---
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](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.

No corpus audio is distributed in this repository. No warranty is given by the licensors.