Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Jesper Kjær Nielsen"'
Publikováno v:
Speech Communication. 151:9-23
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
Publikováno v:
Zhao, Y, Nielsen, J K, Chen, J & Christensen, M G 2020, ' Model-Based Distributed Node Clustering and Multi-Speaker Speech Presence Probability Estimation in Wireless Acoustic Sensor Networks ', The Journal of the Acoustical Society of America, vol. 147, no. 6, pp. 4189-4201 . https://doi.org/10.1121/10.0001449
The knowledge of speech presence probability (SPP) plays an essential role in noise estimation and speech enhancement. Single channel SPP estimation and centralized multi-channel SPP estimation have been well studied. However, how to estimate SPP in
Publikováno v:
Møller, M B, Nielsen, J K, Fernandez Grande, E & Olesen, S K 2019, ' On the influence of transfer function noise on sound zone control in a room ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 9, 8732395, pp. 1405-1418 . https://doi.org/10.1109/TASLP.2019.2921151
Moller, M B, Nielsen, J K, Fernandez Grande, E & Olesen, S K 2019, ' On the influence of transfer function noise on sound zone control in a room ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 9, 8732395, pp. 1405-1418 . https://doi.org/10.1109/TASLP.2019.2921151
Moller, M B, Nielsen, J K, Fernandez Grande, E & Olesen, S K 2019, ' On the influence of transfer function noise on sound zone control in a room ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 9, 8732395, pp. 1405-1418 . https://doi.org/10.1109/TASLP.2019.2921151
Sound zones are valuable in scenarios where multiple people are present in the same room but want to listen to individual audio content without wearing headphones. The purpose of sound zone methods is to minimize the acoustic leakage between the zone
Publikováno v:
Quinn, B G, Nielsen, J K & Christensen, M G 2021, ' Fast algorithms for fundamental frequency estimation in autoregressive noise ', Signal Processing, vol. 180, 107860 . https://doi.org/10.1016/j.sigpro.2020.107860
Many signals can accurately be modelled as a periodic function in coloured noise. An important parameter of the periodic function is the fundamental frequency. Often, fundamental frequency estimators are either ad hoc or have been derived under a whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78e6020145b833495aaae0a2a5137f37
https://vbn.aau.dk/ws/files/387385150/harmar_real.pdf
https://vbn.aau.dk/ws/files/387385150/harmar_real.pdf
Publikováno v:
Shi, L, Lee, T, Zhang, L, Nielsen, J K & Christensen, M G 2021, ' Generation of Personal Sound Zones With Physical Meaningful Constraints and Conjugate Gradient Method ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, 9328283, pp. 823-837 . https://doi.org/10.1109/TASLP.2021.3052564
Personal sound zones provide users to experience independent listening and quiet areas in the same acoustic environment using multiple loudspeakers. The generalized eigenvalue decomposition (GEVD) has been proposed for sound zones generation, allowin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::727ff3fb4d0f476b9a827db52621bb28
https://vbn.aau.dk/ws/files/465187577/SZG_2_.pdf
https://vbn.aau.dk/ws/files/465187577/SZG_2_.pdf
Publikováno v:
Aalborg University
Esquivel Jaramillo, A, Nielsen, J K & Christensen, M G 2021, Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation . in Proc. Interspeech 2021 . pp. 1164-1168, 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 30/08/2021 . https://doi.org/10.21437/Interspeech.2021-47
Esquivel Jaramillo, A, Nielsen, J K & Christensen, M G 2021, Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation . in Proc. Interspeech 2021 . pp. 1164-1168, 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno, Czech Republic, 30/08/2021 . https://doi.org/10.21437/Interspeech.2021-47
In a hybrid speech model, both voiced and unvoiced components can coexist in a segment. Often, the voiced speech is regarded as the deterministic component, and the unvoiced speech and additive noise are the stochastic components. Typically, the spee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::250820dafcf9ad08946663c8a017731c
Publikováno v:
Lee, T, Nielsen, J K & Christensen, M G 2020, ' Signal-Adaptive and Perceptually Optimized Sound Zones with Variable Span Trade-Off Filters ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, 9153915, pp. 2412-2426 . https://doi.org/10.1109/TASLP.2020.3013397
Creating sound zones has been an active research field since the idea was first proposed. So far, most sound zone control methods rely on either an optimization of physical metrics such as acoustic contrast and signal distortion or a mode decompositi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc61cad8ef3e908065ee347fceebdb5
https://vbn.aau.dk/da/publications/990f9b9d-f7d1-4bbe-97eb-872a8bf97b3e
https://vbn.aau.dk/da/publications/990f9b9d-f7d1-4bbe-97eb-872a8bf97b3e
Publikováno v:
Shi, L, Nielsen, J K, Jensen, J R, Little, M A & Christensen, M G 2019, ' Robust Bayesian Pitch Tracking Based on the Harmonic Model ', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 11, 8771212, pp. 1737-1751 . https://doi.org/10.1109/TASLP.2019.2930917
Fundamental frequency is one of the most important characteristics of speech and audio signals. Harmonic model-based fundamental frequency estimators offer a higher estimation accuracy and robustness against noise than the widely used autocorrelation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8859482933feb02c7d3dd63086d0731c
https://vbn.aau.dk/ws/files/308359830/Robust_Bayesian_Pitch_Tracking_Based_on_the_Harmonic_Model.pdf
https://vbn.aau.dk/ws/files/308359830/Robust_Bayesian_Pitch_Tracking_Based_on_the_Harmonic_Model.pdf
Publikováno v:
ICASSP
Kavalekalam, M S, Nielsen, J K, Christensen, M G & Boldt, J 2019, Hearing aid-controlled beamformer for binaural speech enhancement using a model-based approach . in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 321-325, ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12/05/2019 . https://doi.org/10.1109/ICASSP.2019.8683662
Kavalekalam, M S, Nielsen, J K, Christensen, M G & Boldt, J 2019, Hearing aid-controlled beamformer for binaural speech enhancement using a model-based approach . in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 321-325, ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12/05/2019 . https://doi.org/10.1109/ICASSP.2019.8683662
The understanding of speech from a particular speaker in the presence of other interfering speakers can be severely degraded for a hearing impaired person. Beamforming techniques have been proven to be effective to improve the speech understanding in