SOLVIT: A Reference-Free Source Localization Technique Using Majorization Minimization
We consider the problem of localizing the source using range, and range-difference measurements. Both the problems are non-convex, and non-smooth,…
Read moreTASLP Volume 28 | 2020
<p>TASLP Volume 28 | 2020</p>
Personal Sound Zones by Subband Filtering and Time Domain Optimization
Personal Sound Zones (PSZ) systems aim to render independent sound signals to multiple listeners within a room by using arrays of loudspeakers. One…
Read moreWorst-Case-Optimization Robust-MVDR Beamformer for Stereo Noise Reduction in Hearing Aids
This paper presents a robust beamformer for stereo noise reduction in hearing aid applications. The worst-case optimization method was applied to the…
Read moreStochastic Analysis of the Filtered-x LMS Algorithm for Active Noise Control
The filtered-x least-mean-square (FxLMS) algorithm has been widely used for the active noise control. A fundamental analysis of the convergence…
Read moreBlockwise Weighted Least Square Active Noise Control for CPU-GPU Architecture
Active noise control (ANC) is a technology which lowers the noise level by using the principle of destructive interference of sound wave. Even though…
Read moreDeep Learning Based Target Cancellation for Speech Dereverberation
This article investigates deep learning based single- and multi-channel speech dereverberation. For single-channel processing, we extend magnitude…
Read moreGlobal and Local Simplex Representations for Multichannel Source Separation
The problem of blind audio source separation (BASS) in noisy and reverberant conditions is addressed by a novel approach, termed Global and LOcal…
Read moreReflection Assisted Sound Source Localization Through a Harmonic Domain MUSIC Framework
This work presents a method that persuades acoustic reflections to be a favorable property for sound source localization. Whilst most real world…
Read moreDesign of Planar Differential Microphone Arrays With Fractional Orders
Differential microphone arrays (DMAs) often encounter white noise amplification, especially at low frequencies. If the array geometry and the number…
Read moreA Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis
Recurrent neural networks (RNNs) can predict fundamental frequency (F 0 ) for statistical parametric speech synthesis systems, given…
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