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audio_filter
KaniTTS-research-team/audio_filter
audio_filter is a audio classification model from KaniTTS-research-team. Use it for the audio classification task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Audio-quality assessment models for the Audio Filter Pipeline.
Access
Public
Updated May 19, 2026
Repo size
4.4 KB
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Repo makeup
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.pkl4.4 KB · 39%
At a glance
- Task
- Audio Classification
- License
- apache-2.0
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 19, 2026
- SHA
- 27a359f8
Model card
From the Hugging Face model README
Audio Filter — Quality Models (V1 + V2)
Audio-quality assessment models for the Audio Filter Pipeline.
Source code: https://github.com/KaniTTS-research-team/audio_filter
What this is
Two LogisticRegression models that score how likely an audio recording is bad
quality — bad_prob, a value from 0.0 (clean) to 1.0 (bad):
- V1 — narrowband audio, sample rate <= 24 kHz. 12 DSP metrics.
- V2 — wideband audio, sample rate > 24 kHz. 34 DSP metrics.
The pipeline picks the model automatically from each file's sample rate. The
bad_prob score is turned into a good / uncertain / bad verdict by two
cut-offs per model.
Files
| File | Role |
|---|---|
model_v1/filter_model.pkl | V1 — model + scaler + feature list |
model_v2/lr_model.pkl | V2 — LogisticRegression model |
model_v2/scaler.pkl | V2 — StandardScaler |
model_v2/config.json | V2 — feature list |
Usage
These files are downloaded automatically by the
audio_filter pipeline —
you do not load them by hand. See the pipeline's README and MODELS.md for
details on how V1/V2 work and how verdicts are determined.
License
Apache 2.0.
- Task
- Audio Classification
- License
- apache-2.0
- Created
- May 19, 2026
- Updated
- May 19, 2026