Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders [PDF]
Supervised multi-channel audio source separation requires extracting useful spectral, temporal, and spatial features from the mixed signals. The success of many existing systems is therefore largely dependent on the choice of features used for training ...
Grais, Emad M. +2 more
core +2 more sources
OPTIMIZATION OF A BASIC NETWORK IN AUDIO ANALYTICS SYSTEMS
Relevance. The sound is a source of data that provides information necessary for survival and warns of potential dangers. Audio analytics solutions allows detecting and responding in time to illegal actions and violations of the law, which are ...
Anton Poroshenko , Andriy Kovalenko
doaj +1 more source
Subjective Evaluation of Basic Emotions from Audio–Visual Data
Understanding of the perception of emotions or affective states in humans is important to develop emotion-aware systems that work in realistic scenarios.
Sudarsana Reddy Kadiri, Paavo Alku
doaj +1 more source
Robust acoustic reflector localization using a modified EM algorithm
In robotics, echolocation has been used to detect acoustic reflectors, e.g., walls, as it aids the robotic platform to navigate in darkness and also helps detect transparent surfaces. However, the transfer function or response of an acoustic system, e.g.,
Usama Saqib +2 more
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Comparison between audio and tactile systems for delivering simple navigational information to visually impaired pedestrians [PDF]
Many of the current GPS (Global Positioning Systems) navigation aids use an audio method to deliver navigation information to the user. For the visually impaired person this method can be problematic.
Brunel University +10 more
core +1 more source
IntroductionThis study investigates the impact of a software-based audio enhancement tool Q6 in virtual reality (VR), examining the relationship between spatial audio, immersion, and affective responses using self-reports and physiological measures ...
Ifigeneia Mavridou +13 more
doaj +1 more source
A Neural Network Architecture for Children’s Audio–Visual Emotion Recognition
Detecting and understanding emotions are critical for our daily activities. As emotion recognition (ER) systems develop, we start looking at more difficult cases than just acted adult audio–visual speech.
Anton Matveev +4 more
doaj +1 more source
Enhancement of IEEE 802.11 in handling multiple broadcasting audio data in wireless ad-hoc networks [PDF]
This article is made available through the Brunel Open Access Publishing fund and can be downloaded from the publisher’s website at the link below.
Floros, A, Nilavalan, R
core
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning.
Abdullah, Hadi +5 more
core +1 more source
Carotid Sound Signal Artifact Detection based on Discrete Wavelet Transform Decomposition
Auscultation methods allow a non-invasive diagnosis of cardiovascular diseases like atherosclerosis based on blood flow sounds of the carotid arteries.
Fuentealba Patricio +8 more
doaj +1 more source

