LocalVQE Local Voice Quality Enhancement — compact neural models for acoustic echo cancellation (AEC), noise suppression (NS), and dereverberation of 16 kHz speech, running on commodity CPUs in real time. Causal and streaming (256 sample hop, 16 ms latency). Try it: Source, build system, tests: This page hosts the published weights. Inference runs the GGML C++ engine on the GGUF files directly (build instructions on GitHub). Authors: Richard Palethorpe (richiejp) and Claude (Anthropic). LocalVQE is a streaming, CPU tuned derivative of DeepVQE (Indenbom et al., Interspeech 2023). Models Speed is per 16 ms hop on a Ryzen 9 7900 (Zen4), 4 threads; RT = realtime factor (higher is faster than realtime). Version Does Params Size (F32) Speed Pick it when : : v1.3 (current) AEC + NS + dereverb 4.8 M ~19 MB 3.2 ms · 5.0× RT best joint quality, CPU budget available v1.2 AEC + NS + dereverb 1.3 M ~5 MB 1.7 ms · 8.9× RT tight CPU / low power devices v1.4 AEC echo only (keeps voice, noise, room) 203 K ~3 MB 0.83 ms · 19× RT NS is handled elsewhere, or you want the room kept v1.4 AEC 2.7K echo only, linear filter (no mask) 2.7 K ~17 KB 0.36 ms · 44× RT lightest echo canceller; echo isn't heavily…
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