Zobrazeno 1 - 10
of 143
pro vyhledávání: '"D. Van Compernolle"'
Publikováno v:
European Urology Open Science, Vol 19, Iss , Pp e847- (2020)
Externí odkaz:
https://doaj.org/article/f55029cefdde4493a7c83a4011c58431
Autor:
Gustavo A. Arman, Jacques Himpens, Ramon Vilallonga, D Van Compernolle, Guido Leman, Roel Bolckmans
Publikováno v:
Obesity surgery. 28(3)
Roux-en-Y gastric bypass (RYGB) can be reversed into normal anatomy (NA) or into sleeve gastrectomy (NASG) to address undesired side effects. Concomitant hiatal hernia repair (HHR) may be required. Before reversal, some patients benefit from placemen
Publikováno v:
BASE-Bielefeld Academic Search Engine
Despite their known weaknesses, hidden Markov models (HMMs) have been the dominant technique for acoustic modeling in speech recognition for over two decades. Still, the advances in the HMM framework have not solved its key problems: it discards info
Publikováno v:
IFAC Proceedings Volumes. 35:187-192
In this paper the performance and assumptions of linear prediction acoustical modelling are assessed on the free field cough sound. Four distinct free field cough classes originating from animal and human species in different health conditions are co
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 6:549-557
This paper proposes a method to transform acoustic models that have been trained with a certain group of speakers for use on different speech in hidden Markov model based (HMM-based) automatic speech recognition. Features are transformed on the basis
Autor:
S Van Gerven, D. Van Compernolle
Publikováno v:
IEEE Transactions on Signal Processing. 43:1602-1612
The performance of signal enhancement systems based on adaptive filtering is highly dependent on the quality of the noise reference. In the LMS algorithm, signal leakage into the noise reference leads to signal distortion and poor noise cancellation.
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 2:185-193
A novel combination of multilayer perceptrons (MLPs) and hidden Markov models (HMMs) is presented. Instead of using MLPs as probability generators for HMMs, the authors propose to use MLPs as labelers for discrete parameter HMM's. Compared with the p
Autor:
G. Zweig, P. Nguyen, D. Van Compernolle, K. Demuynck, L. Atlas, P. Clark, G. Sell, M. Wang, F. Sha, H. Hermansky, D. Karakos, A. Jansen, S. Thomas, G. S. V. S. Sivaram, S. Bowman, J. Kao
Publikováno v:
ICASSP
This paper summarizes the 2010 CLSP Summer Workshop on speech recognition at Johns Hopkins University. The key theme of the workshop was to improve on state-of-the-art speech recognition systems by using Segmental Conditional Random Fields (SCRFs) to
Autor:
D. Van Compernolle
Publikováno v:
Acta Oto-Laryngologica. 109:76-84
The performance of normal human hearing in noisy circumstances is helped considerably by its ability to focus on a specific sound source. This ability is derived from the binaural nature of hearing. In this paper we present signal-processing techniqu
Publikováno v:
ICASSP (4)
Example based speech recognition is critically dependent on the quality of the acoustic distance measure between input and reference vectors. In the past, the commonly used Euclidean distance has been refined to take into account the covariance of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::846694641d37defe978b167316e8d85d
https://lirias.kuleuven.be/handle/123456789/168837
https://lirias.kuleuven.be/handle/123456789/168837