LocalVQE v1.4-AEC

Esta página da Soniqo documenta LocalVQE v1.4-AEC conforme a implementação local em speech-swift. Os links do Hugging Face ficam abaixo das notas de integração.

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Visão geral

Modelo	LocalVQE v1.4-AEC
Papel	Explicit-reference acoustic echo cancellation
Backend	Native C++ adaptive filter plus stateful Core ML residual mask
Saída	16 kHz mono Float32 clean-microphone PCM
Idiomas	Language-independent acoustic processing
Licença	Apache-2.0 code and weights
Status	Streaming and complete-clip speech-swift runtime
Fonte	LocalVQE
Produto Swift	`SpeechEnhancement`
CLI / runtime	Programmatic LocalVQEEchoCanceller runtime

Uso

O trecho abaixo reflete a API ou comando atual exposto por speech-swift.

import SpeechEnhancement

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

Links do modelo

Notas de implementação

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.