Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Speech activity detection"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract This paper addresses the challenge of online blind speaker separation in a multi-microphone setting. The linearly constrained minimum variance (LCMV) beamformer is selected as the backbone of the separation algorithm due to its distortionles
Externí odkaz:
https://doaj.org/article/28ecf5174c4446aeba3e9f34d74bd140
Akademický článek
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Autor:
Pedram Z. Soroush, Christian Herff, Stephanie K. Ries, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski
Publikováno v:
NeuroImage, Vol 269, Iss , Pp 119913- (2023)
Recent studies have demonstrated that it is possible to decode and synthesize various aspects of acoustic speech directly from intracranial measurements of electrophysiological brain activity. In order to continue progressing toward the development o
Externí odkaz:
https://doaj.org/article/bfa3595a6efd440b8cbd03f15e0294cd
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2019, Iss 1, Pp 1-23 (2019)
Abstract Voice-enabled interaction systems in domestic environments have attracted significant interest recently, being the focus of smart home research projects and commercial voice assistant home devices. Within the multi-module pipelines of such s
Externí odkaz:
https://doaj.org/article/31b6a56405a6435b9dbce57e20fa6381
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2019, Iss 1, Pp 1-18 (2019)
Abstract 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 s
Externí odkaz:
https://doaj.org/article/b982cad8e8874ccda8e178833d78cb69
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1832 (2022)
Speech Activity Detection (SAD) aims to accurately classify audio fragments containing human speech. Current state-of-the-art systems for the SAD task are mainly based on deep learning solutions. These applications usually show a significant drop in
Externí odkaz:
https://doaj.org/article/9f01d82a82ac4dfe9e17d99239ed91e7
Autor:
Lebourdais, Martin, Mariotte, Théo, Tahon, Marie, Larcher, Anthony, Laurent, Antoine, Montresor, Silvio, Meignier, Sylvain, Thomas, Jean-Hugh
Publikováno v:
Le Mans Université. 2023
Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization. The final segmentation performance highly relies on the robustness of these sub-tasks. Recent studies have shown VAD and O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3379::dd70d942e29f3d5c3fe89d1d62934779
https://hal.science/hal-04133268/document
https://hal.science/hal-04133268/document
Publikováno v:
Журнал інженерних наук, Vol 4, Iss 1, Pp H14-H20 (2017)
In the article, the authors developed a method for detecting speech activity for an automated system for recognizing critical use of speeches with wavelet parameterization of speech signal and classification at intervals of “language”/“pause”
Externí odkaz:
https://doaj.org/article/be485c0733e649f683f59ebb9bcf171c
Autor:
Pedram Z. Soroush, Christian Herff, Stephanie K. Ries, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski
Publikováno v:
Neuroimage, 269:119913. Elsevier Science
Recent studies have demonstrated that it is possible to decode and synthesize various aspects of acoustic speech directly from intracranial measurements of electrophysiological brain activity. In order to continue progressing toward the development o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::083ca028d9b1793be5af89950bf6c77d
https://doi.org/10.1101/2022.08.04.502829
https://doi.org/10.1101/2022.08.04.502829
Akademický článek
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