Zobrazeno 1 - 10
of 343
pro vyhledávání: '"Mads Græsbøll Christensen"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-13 (2024)
Abstract 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
Externí odkaz:
https://doaj.org/article/bad3653d022440bb9a6ce220e29a7899
Autor:
Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-15 (2022)
Abstract In this paper, we propose a supervised single-channel speech enhancement method that combines Kullback-Leibler (KL) divergence-based non-negative matrix factorization (NMF) and a hidden Markov model (NMF-HMM). With the integration of the HMM
Externí odkaz:
https://doaj.org/article/1584f935a15d42c0a39806da26e8e21e
Publikováno v:
IET Signal Processing, Vol 17, Iss 3, Pp n/a-n/a (2023)
Abstract Due to its self‐regularising nature and its ability to quantify uncertainty, the Bayesian approach has achieved excellent recovery performance across a wide range of sparse signal recovery applications. However, most existing methods are b
Externí odkaz:
https://doaj.org/article/85681eb9647140c39233b3cd5faf6113
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-19 (2021)
Abstract Estimating the direction-of-arrival (DOA) of multiple acoustic sources is one of the key technologies for humanoid robots and drones. However, it is a most challenging problem due to a number of factors, including the platform size which put
Externí odkaz:
https://doaj.org/article/642600165b964d29b069c35a5abff8c9
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-10 (2021)
Abstract The presence of degradations in speech signals, which causes acoustic mismatch between training and operating conditions, deteriorates the performance of many speech-based systems. A variety of enhancement techniques have been developed to c
Externí odkaz:
https://doaj.org/article/ae4eedb1b11f4b31a901e1994f929588
Publikováno v:
Speech Communication. 151:9-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e867227da2410362d0eb8f491ab55e
https://doi.org/10.1016/j.specom.2023.04.002
https://doi.org/10.1016/j.specom.2023.04.002
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73b27483a2ee4a645d9a1e5a26240a48
https://doi.org/10.1109/icassp49357.2023.10094669
https://doi.org/10.1109/icassp49357.2023.10094669
Publikováno v:
The Journal of the Acoustical Society of America. 153:2538
As environmental changes are inevitable, online algorithms that can track the variation of acoustic transfer functions are preferred in sound zone control (SZC) systems. In this paper, it is found that for the time domain SZC, the nonuniqueness probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0675205bcddbe5e6fcd3152d02b1d98f
https://doi.org/10.1121/10.0017977
https://doi.org/10.1121/10.0017977
Publikováno v:
Lee, T, Shi, L, Nielsen, J K & Christensen, M G 2021, ' Fast Generation of Sound Zones Using Variable Span Trade-Off Filters in the DFT-Domain ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, 9281345, pp. 363-378 . https://doi.org/10.1109/TASLP.2020.3042701
The creation of sound zones with frequency-domain variable span trade-off filters (VAST) is investigated herein. Both narrowband and broadband discrete Fourier transform (DFT)-domain VAST approaches are proposed, and we discuss their relationship to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdbfb118acdcafa069b0b2456fe12e47
https://doi.org/10.1109/taslp.2020.3042701
https://doi.org/10.1109/taslp.2020.3042701
Publikováno v:
Hu, M, Zou, H, Lu, J & Christensen, M G 2022, ' Maximizing the acoustic contrast with constrained reconstruction error under a generalized pressure matching framework in sound zone control ', Journal of the Acoustical Society of America, vol. 151, no. 4, pp. 2751-2759 . https://doi.org/10.1121/10.0010256
In sound zone control, the pressure matching (PM) algorithm is generally considered to achieve relatively low acoustic contrast (AC) regardless of the desired sound field. In this paper, we propose a generalized PM framework to generate a desired sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761d5ee173845966cae55c9f945d2025
https://vbn.aau.dk/da/publications/17993f4b-7267-47d6-9ec5-fee2ff01ab0a
https://vbn.aau.dk/da/publications/17993f4b-7267-47d6-9ec5-fee2ff01ab0a
