44 citations · 75 across the 9 of their papers we have counts for
10 papers
Frequency bin-wise single channel speech presence probability estimation using multiple DNNs
Shuai Tao, Himavanth Reddy, Jesper Rindom Jensen +1
In this work, we propose a frequency bin-wise method to estimate the single-channel speech presence probability (SPP) with multiple deep neural networks (DNNs) in the short-time Fo…
Detecting acoustic reflectors using a robot's ego-noise
Usama Saqib, Antoine Deleforge, Jesper Jensen
In this paper, we propose a method to estimate the proximity of an acoustic reflector, e.g., a wall, using ego-noise, i.e., the noise produced by the moving parts of a listening ro…
Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection
Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi +4
The performance of voice-based Parkinson's disease (PD) detection systems degrades when there is an acoustic mismatch between training and operating conditions caused mainly by deg…
Bayesian Pitch Tracking Based on the Harmonic Model
Liming Shi, Jesper Kjaer Nielsen, Jesper Rindom Jensen +2
Fundamental frequency is one of the most important characteristics of speech and audio signals. Harmonic model-based fundamental frequency estimators offer a higher estimation accu…
Robust Joint Estimation of Multi-Microphone Signal Model Parameters
Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens +1
One of the biggest challenges in multi-microphone applications is the estimation of the parameters of the signal model such as the power spectral densities (PSDs) of the sources, t…
A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem
Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens +1
The recently proposed relaxed binaural beamforming (RBB) optimization problem provides a flexible trade-off between noise suppression and binaural-cue preservation of the sound sou…