Meta-AF Demos

We release the inputs, targets, and results for five samples in the test set of each adaptive filter task for all models. These samples are all generated using the Meta-AF codebase in this GitHub repo. Please consult our paper for any experimental configuration details as well as descriptions of our baselines.

Acoustic Echo Cancellation

Double-Talk

Magnitude STFT of the First Sample

Near-end	Far-end	Near-end Speech	Speex	LMS	RMSProp	NLMS	RLS	Kalman Filter	Meta-AF

Double-Talk with Path Change

Magnitude STFT of the First Sample

Near-end	Far-end	Near-end Speech	Speex	LMS	RMSProp	NLMS	RLS	Kalman Filter	Meta-AF

Double-Talk with Nonlinearities

Magnitude STFT of the First Sample

Near-end	Far-end	Near-end Speech	Speex	LMS	RMSProp	NLMS	RLS	Kalman Filter	Meta-AF

Equalization

Unconstrained

Magnitude STFT of the First Sample

Target	Input	LMS	RMSProp	NLMS	RLS	Meta-AF

Constrained

Magnitude STFT of the First Sample

Target	Input	LMS	RMSProp	NLMS	RLS	Meta-AF

Dereverberation

One, Four, Eight Mic.

Magnitude STFT of the First Sample

Reverberant	Anechoic	NARA 1 Mic.	Meta-AF 1 Mic.	NARA 4 Mic.	Meta-AF 4 Mic.	NARA 8 Mic.	Meta-AF 8 Mic.

Beamforming

Diffuse Interferer

Magnitude STFT of the First Sample

Clean Speech	Mixture	LMS	RMSProp	NLMS	RLS	Meta-AF

Directional Interferer

Magnitude STFT of the First Sample

Clean Speech	Mixture	LMS	RMSProp	NLMS	RLS	Meta-AF