Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Nilesh Madhu"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-20 (2023)
Abstract Speaker embeddings, from the ECAPA-TDNN speaker verification network, were recently introduced as features for the task of clustering microphones in ad hoc arrays. Our previous work demonstrated that, in comparison to signal-based Mod-MFCC f
Externí odkaz:
https://doaj.org/article/4f832e5dd8da4e06bb4c7130c824a01e
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/dd7c5e69e14741619f091f7e01a45e51
Autor:
Mitchel Kappen, Jonas van der Donckt, Gert Vanhollebeke, Jens Allaert, Vic Degraeve, Nilesh Madhu, Sofie Van Hoecke, Marie-Anne Vanderhasselt
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The use of speech as a digital biomarker to detect stress levels is increasingly gaining attention. Yet, heterogeneous effects of stress on specific acoustic speech features have been observed, possibly due to previous studies’ use of diff
Externí odkaz:
https://doaj.org/article/edb39376511446bf9192c38aa08771f2
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 609 (2024)
The characterising sound required for the Acoustic Scene Classification (ASC) system is contained in the ambient signal. However, in practice, this is often distorted by e.g., foreground speech of the speakers in the surroundings. Previously, based o
Externí odkaz:
https://doaj.org/article/1515b9d0e1dd4e0fafd8d04a00d43010
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-21 (2022)
Abstract By means of spatial clustering and time-frequency masking, a mixture of multiple speakers and noise can be separated into the underlying signal components. The parameters of a model, such as a complex angular central Gaussian mixture model (
Externí odkaz:
https://doaj.org/article/c317529e625247f79733bb7633541347
Autor:
Yanjue Song, Nilesh Madhu
Publikováno v:
Sensors, Vol 23, Iss 14, p 6438 (2023)
Using the source-filter model of speech production, clean speech signals can be decomposed into an excitation component and an envelope component that is related to the phoneme being uttered. Therefore, restoring the envelope of degraded speech durin
Externí odkaz:
https://doaj.org/article/0e3c7e9a2a144e03b78772217666f4a8
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-18 (2021)
Abstract Localization of multiple speakers using microphone arrays remains a challenging problem, especially in the presence of noise and reverberation. State-of-the-art localization algorithms generally exploit the sparsity of speech in some represe
Externí odkaz:
https://doaj.org/article/a1c26c4906c6421ca287c04871f913bd
Autor:
Silvia Seoni, Simeon Beeckman, Yanlu Li, Soren Aasmul, Umberto Morbiducci, Roel Baets, Pierre Boutouyrie, Filippo Molinari, Nilesh Madhu, Patrick Segers
Publikováno v:
Frontiers in Physiology, Vol 12 (2022)
Background: Laser-Doppler Vibrometry (LDV) is a laser-based technique that allows measuring the motion of moving targets with high spatial and temporal resolution. To demonstrate its use for the measurement of carotid-femoral pulse wave velocity, a p
Externí odkaz:
https://doaj.org/article/37658281ed2246118da99c2766178c2d
Publikováno v:
Sensors, Vol 22, Iss 20, p 7901 (2022)
Remote, automated querying of fill-states of liquid-freight containers can significantly boost the operational efficiency of rail- and storage-yards. Most existing methods for fill-state detection are intrusive, or require sophisticated instrumentati
Externí odkaz:
https://doaj.org/article/d735d0f13cae4e1f99e84dc313a6779b
Autor:
Mohammed Krini, Nilesh Madhu
Publikováno v:
Towards Human-Vehicle Harmonization ISBN: 9783110981223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b1fa7507f5ea7a06bb4754d9b5b7741
https://doi.org/10.1515/9783110981223-014
https://doi.org/10.1515/9783110981223-014
