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09/20/2023
Joint Minimum Processing Beamforming and Near-end Listening Enhancement
We consider speech enhancement for signals picked up in one noisy enviro...
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06/01/2023
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners
Several recent works have adapted Masked Autoencoders (MAEs) for learnin...
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06/01/2023
Speech inpainting: Context-based speech synthesis guided by video
Audio and visual modalities are inherently connected in speech signals: ...
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03/29/2023
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss
In this paper we derive a Probably Approxilmately Correct(PAC)-Bayesian ...
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12/30/2022
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models
In this paper we derive a PAC-Bayesian-Like error bound for a class of s...
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11/19/2022
Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise
In the context of keyword spotting (KWS), the replacement of handcrafted...
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11/15/2022
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder
By utilizing the fact that speaker identity and content vary on differen...
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11/03/2022
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise
In recent years, significant progress has been made in deep model-based ...
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10/31/2022
Minimum Processing Near-end Listening Enhancement
The intelligibility and quality of speech from a mobile phone or public ...
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10/04/2022
Improving Label-Deficient Keyword Spotting Using Self-Supervised Pretraining
In recent years, the development of accurate deep keyword spotting (KWS)...
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06/21/2022
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Environmental scene reconstruction is of great interest for autonomous r...
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05/17/2022
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sens...
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02/08/2022
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Ch...
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01/17/2022
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
Deep representation learning has gained significant momentum in advancin...
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11/20/2021
Deep Spoken Keyword Spotting: An Overview
Spoken keyword spotting (KWS) deals with the identification of keywords ...
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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...
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10/19/2021
Design of AoI-Aware 5G Uplink Scheduler UsingReinforcement Learning
Age of Information (AoI) reflects the time that is elapsed from the gene...
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10/12/2021
Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices
A central use case for the Internet of Things (IoT) is the adoption of s...
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09/06/2021
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems
In this short article, we showcase the derivation of an optimal predicto...
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04/12/2021
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing
Voice activity detection (VAD) remains a challenge in noisy environments...
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04/02/2021
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing
The ConferencingSpeech 2021 challenge is proposed to stimulate research ...
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03/27/2021
On TasNet for Low-Latency Single-Speaker Speech Enhancement
In recent years, speech processing algorithms have seen tremendous progr...
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03/23/2021
PAC-Bayesian theory for stochastic LTI systems
In this paper we derive a PAC-Bayesian error bound for autonomous stocha...
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02/03/2021
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
In this paper, we propose a novel method that trains pass-phrase specifi...
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11/25/2020
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
In this letter, we propose a vocal tract length (VTL) perturbation metho...
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11/16/2020
Assessing Wireless Sensing Potential with Large Intelligent Surfaces
Sensing capability is one of the most highlighted new feature of future ...
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10/12/2020
CC-Loss: Channel Correlation Loss For Image Classification
The loss function is a key component in deep learning models. A commonly...
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10/11/2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world appli...
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10/09/2020
Audio-Visual Speech Inpainting with Deep Learning
In this paper, we present a deep-learning-based framework for audio-visu...
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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...
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07/26/2020
UIAI System for Short-Duration Speaker Verification Challenge 2020
In this work, we present the system description of the UIAI entry for th...
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07/12/2020
Data augmentation enhanced speaker enrollment for text-dependent speaker verification
Data augmentation is commonly used for generating additional data from t...
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06/11/2020
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting
One of the beyond-5G developments that is often highlighted is the integ...
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05/30/2020
Exploring Filterbank Learning for Keyword Spotting
Despite their great performance over the years, handcrafted speech featu...
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05/15/2020
On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors
Applying x-vectors for speaker verification has recently attracted great...
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04/20/2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
A deep neural network of multiple nonlinear layers forms a large functio...
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04/06/2020
Vocoder-Based Speech Synthesis from Silent Videos
Both acoustic and visual information influence human perception of speec...
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02/04/2020
Context-Aware Recommendations for Televisions Using Deep Embeddings with Relaxed N-Pairs Loss Objective
This paper studies context-aware recommendations in the television domai...
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10/22/2019
Adversarial Example Detection by Classification for Deep Speech Recognition
Machine Learning systems are vulnerable to adversarial attacks and will ...
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09/13/2019
Deep Joint Embeddings of Context and Content for Recommendation
This paper proposes a deep learning-based method for learning joint cont...
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09/03/2019
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
Many deep learning-based speech enhancement algorithms are designed to m...
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06/22/2019
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers
Keyword spotting (KWS) is experiencing an upswing due to the pervasivene...
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06/09/2019
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
This paper presents an unsupervised segment-based method for robust voic...
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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...
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05/11/2019
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification
There are a number of studies about extraction of bottleneck (BN) featur...
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12/12/2018
Subjective Annotations for Vision-Based Attention Level Estimation
Attention level estimation systems have a high potential in many use cas...
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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 ...
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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 ...
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07/30/2018
The Importance of Context When Recommending TV Content: Dataset and Algorithms
Home entertainment systems feature in a variety of usage scenarios with ...
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06/21/2018
