Results 11 to 20 of about 239,278 (262)

Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2019
Audio signals represent a wide diversity of acoustic events, from background environmental noise to spoken communication. Machine learning models such as neural networks have already been proposed for audio signal modeling, where recurrent structures can
Diego de Benito-Gorron   +3 more
doaj   +1 more source

Subspectral Normalization for Neural Audio Data Processing [PDF]

open access: yesICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
4 pages, ICASSP '21 ...
Simyung Chang   +5 more
openaire   +2 more sources

Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

open access: yesEntropy, 2018
In this work, we analyze the cross-entropy function, widely used in classifiers both as a performance measure and as an optimization objective. We contextualize cross-entropy in the light of Bayesian decision theory, the formal probabilistic framework ...
Daniel Ramos   +3 more
doaj   +1 more source

User Profiling based on Nonlinguistic Audio Data [PDF]

open access: yes2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021
User profiling refers to inferring people’s attributes of interest ( AoIs ) like gender and occupation, which enables various applications ranging from personalized services to collective analyses.
Jiaxing Shen   +4 more
openaire   +2 more sources

Detecting Lombard Speech Using Deep Learning Approach

open access: yesSensors, 2022
Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time.
Krzysztof Kąkol   +3 more
doaj   +1 more source

A Chaotic-Based Encryption/Decryption Framework for Secure Multimedia Communications

open access: yesEntropy, 2020
Chaos-based encryption has shown an increasingly important and dominant role in modern multimedia cryptography compared with traditional algorithms. This work proposes novel chaotic-based multimedia encryption schemes utilizing 2D alteration models for ...
Ibrahim Yasser   +3 more
doaj   +1 more source

Digital economy: communication using neural networks in international communication

open access: yesRUDN Journal of Economics, 2020
The article considers theoretical and practical issues of development and implementation, as well as potential development of technological solutions for voice communication of people speaking foreign languages using simultaneous machine translation, as ...
Maria A. Strenina
doaj   +1 more source

TOPOLOGICAL MAPPINGS OF VIDEO AND AUDIO DATA

open access: yesInternational Journal of Neural Systems, 2008
We review a new form of self-organizing map which is based on a nonlinear projection of latent points into data space, identical to that performed in the Generative Topographic Mapping (GTM).1 But whereas the GTM is an extension of a mixture of experts, this model is an extension of a product of experts.2 We show visualisation and clustering results ...
Colin Fyfe   +3 more
openaire   +3 more sources

Audio Commons Ontology: A Data Model for an Audio Content Ecosystem [PDF]

open access: yes, 2018
Multiple online services host repositories of audio clips of different kinds, ranging from music tracks, albums, playlists, to instrument samples and loops, to a variety of recorded or synthesized sounds. Programmatic access to these resources maybe used by client applications for tasks ranging from customized musical listening and exploration, to ...
Ceriani M., Fazekas G.
openaire   +1 more source

Strategies for automatic segmentation of audio data [PDF]

open access: yes2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
In many applications, like indexing of broadcast news or surveillance applications, the input data consists of a continuous, unsegmented audio stream. Speech recognition technology, however, usually requires segments of relatively short length as input.
Kemp, Thomas   +3 more
openaire   +2 more sources

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