LocalVQE v1.4-AEC

Diese Soniqo-Seite dokumentiert LocalVQE v1.4-AEC aus der lokalen speech-swift-Implementierung. Hugging-Face-Bundles sind nach den Integrationshinweisen verlinkt.

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Überblick

Modell	LocalVQE v1.4-AEC
Rolle	Explicit-reference acoustic echo cancellation
Backend	Native C++ adaptive filter plus stateful Core ML residual mask
Ausgabe	16 kHz mono Float32 clean-microphone PCM
Sprachen	Language-independent acoustic processing
Lizenz	Apache-2.0 code and weights
Status	Streaming and complete-clip speech-swift runtime
Quelle	LocalVQE
Swift-Produkt	`SpeechEnhancement`
CLI / Laufzeit	Programmatic LocalVQEEchoCanceller runtime

Verwendung

Das folgende Snippet entspricht der aktuellen API oder dem aktuellen Befehl aus speech-swift.

import SpeechEnhancement

let aec = try await LocalVQEEchoCanceller.fromPretrained()
let cleanMicrophone = try aec.processFrame(
    microphone: microphoneFrame,
    reference: playbackReferenceFrame
)

Modelllinks

Implementierungsnotizen

Microphone and playback reference are separate, synchronized inputs; a mixed system-audio transcript is not a valid reference.
Streaming accepts exactly 256 mono samples per input at 16 kHz and adds one 16 ms spectral hop of algorithmic latency.
Reset after dropped frames, device changes, capture restarts, or recording boundaries so stale filter and neural state cannot cross discontinuities.
A silent reference preserves microphone-only speech; the runtime never falls back to subtracting a mix or muting the microphone.
Do not blindly cascade this path with Apple Voice Processing I/O because two adaptive cancellers can distort near-end speech.