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Found 5 papers, 3 papers with code
Exploring Self-Attention Mechanisms for Speech Separation
In particular, we extend our previous findings on the SepFormer by providing results on more challenging noisy and noisy-reverberant datasets, such as LibriMix, WHAM!, and WHAMR!.
Ranked #1 on
Speech Enhancement
on WHAM!
Lightweight and Optimized Sound Source Localization and Tracking Methods for Open and Closed Microphone Array Configurations
For sound source tracking, this paper presents a modified 3D Kalman (M3K) method capable of simultaneously tracking in 3D the directions of sound sources.
Audio and Speech Processing Sound
GEV Beamforming Supported by DOA-based Masks Generated on Pairs of Microphones
The solution presented in this paper is to train a neural network on pairs of microphones with different spacing and acoustic environmental conditions, and then use this network to estimate a time-frequency mask from all the pairs of microphones forming the array with an arbitrary shape.
A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition
Speech recognizers trained on close-talking speech do not generalize to distant speech and the word error rate degradation can be as large as 40% absolute.
Audio scene monitoring using redundant ad-hoc microphone array networks
The DOAs are fed to a fusion center, concatenated, and used to perform the localization based on two proposed methods, which require only few labeled source locations (anchor points) for training.
