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karamouche/noisekit
Model Serving & MLOps
Generate degraded speech datasets for noise‑robust ASR benchmarking
Python
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Latest v0.1.3 · 13h ago
Security brief →
Features
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Create synthetic noisy audio from clean HuggingFace speech datasets
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Apply six atomic degradation presets (codec, ambient noise, clipping, reverb, etc.)
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Compose presets into multi‑condition scenarios
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Score each output with PESQ, SNR, and NISQA metrics
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Produce a JSONL manifest ready for HuggingFace audiofolder loading
No immediate action
v0.1.3
New feature
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MuLawCompanding transform
No immediate action
v0.1.2
New feature
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Code of Conduct + Security Policy
No immediate action
v0.1.1
Breaking risk
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metadata.jsonl + audio presets
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