research
∙
09/20/2023
Joint Minimum Processing Beamforming and Near-end Listening Enhancement
We consider speech enhancement for signals picked up in one noisy enviro...
share
research
∙
06/01/2023
Speech inpainting: Context-based speech synthesis guided by video
Audio and visual modalities are inherently connected in speech signals: ...
research
∙
11/19/2022
Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise
In the context of keyword spotting (KWS), the replacement of handcrafted...
research
∙
10/31/2022
Minimum Processing Near-end Listening Enhancement
The intelligibility and quality of speech from a mobile phone or public ...
research
∙
11/20/2021
Deep Spoken Keyword Spotting: An Overview
Spoken keyword spotting (KWS) deals with the identification of keywords ...
research
∙
11/16/2021
Detecting acoustic reflectors using a robot's ego-noise
In this paper, we propose a method to estimate the proximity of an acous...
research
∙
11/15/2021
Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index
This paper considers speech enhancement of signals picked up in one nois...
research
∙
03/27/2021
On TasNet for Low-Latency Single-Speaker Speech Enhancement
In recent years, speech processing algorithms have seen tremendous progr...
research
∙
10/09/2020
Audio-Visual Speech Inpainting with Deep Learning
In this paper, we present a deep-learning-based framework for audio-visu...
research
∙
08/21/2020
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Speech enhancement and speech separation are two related tasks, whose pu...
research
∙
05/30/2020
Exploring Filterbank Learning for Keyword Spotting
Despite their great performance over the years, handcrafted speech featu...
research
∙
04/06/2020
Vocoder-Based Speech Synthesis from Silent Videos
Both acoustic and visual information influence human perception of speec...
research
∙
09/03/2019
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
Many deep learning-based speech enhancement algorithms are designed to m...
research
∙
06/22/2019
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers
Keyword spotting (KWS) is experiencing an upswing due to the pervasivene...
research
∙
05/29/2019
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect
When speaking in presence of background noise, humans reflexively change...
research
∙
11/15/2018
Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems
Humans tend to change their way of speaking when they are immersed in a ...
research
∙
11/15/2018
On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement
Audio-visual speech enhancement (AV-SE) is the task of improving speech ...
research
∙
10/12/2018
Robust Joint Estimation of Multi-Microphone Signal Model Parameters
One of the biggest challenges in multi-microphone applications is the es...
research
∙
06/21/2018
On the Equivalence between Objective Intelligibility and Mean-Squared Error for Deep Neural Network based Speech Enhancement
Although speech enhancement algorithms based on deep neural networks (DN...
research
∙
05/04/2018
A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem
The recently proposed relaxed binaural beamforming (RBB) optimization pr...
research
∙
05/02/2018
Information Loss in the Human Auditory System
From the eardrum to the auditory cortex, where acoustic stimuli are deco...
research
∙
02/02/2018
Monaural Speech Enhancement using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure
In this paper we propose a Deep Neural Network (DNN) based Speech Enhanc...
research
∙
08/31/2017
Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training
In this paper we propose to use utterance-level Permutation Invariant Tr...
research
∙
07/01/2016