DeepFilterNet3 — CoreML INT8 Real time speech enhancement for Apple Silicon. Removes background noise from speech audio. Runs on Neural Engine via CoreML. 2.1M params , INT8 k means palettization, 2.2 MB 48 kHz native, 10 ms frames Requires macOS 14+ / iOS 17+ Quality Measured on 30 VoiceBank DEMAND test clips via Python CoreMLBackend (replaces only the NN forward; keeps the PyTorch STFT / ERB / deep filter post processing intact). Variant PESQ STOI SI SDR Size PyTorch FP32 (reference) 2.900 0.947 18.19 — CoreML FP16 2.901 0.947 18.19 4.2 MB CoreML INT8 (this repo) 2.907 0.947 18.11 2.2 MB INT8 matches FP16 within run to run noise (ΔPESQ +0.006, ΔSI SDR −0.07 dB, STOI identical) while cutting size by 48%. Latency (M2 Max) Duration Time RTF 5 s 0.65 s 0.13 10 s 1.2 s 0.12 20 s 4.8 s 0.24 Files File Size Description DeepFilterNet3.mlmodelc 2.2 MB Pre compiled CoreML model (runs on Neural Engine) auxiliary.npz 126 KB ERB filterbank, Vorbis window, normalization states Usage Add speech swift to Package.swift : Then denoise: CLI: Source Base model: Rikorose/DeepFilterNet3 (Apache 2.0) License Model weights: Apache 2.0 / MIT dual license CoreML conversion: Apache 2.0 Links speech swift —…
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