Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Ulrik Kjems"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Although most noise reduction algorithms are critically dependent on the noise power spectral density (PSD), most procedures for noise PSD estimation fail to obtain good estimates in nonstationary noise conditions. Recently, a DFT-subspace-based meth
Externí odkaz:
https://doaj.org/article/6933908c401c431ba21e1cba0ab5ced5
Publikováno v:
IEEE Signal Procesing Letters, 16 (10), 2009
In this letter we present discrete Fourier transform (DFT) domain minimum mean-squared error (MMSE) estimators for multichannel noise reduction. The estimators are derived assuming that the clean speech magnitude DFT coefficients are generalized-Gamm
Publikováno v:
Wang, D, Kjems, U, Pedersen, M S, Boldt, J & Lunner, T 2008, ' Speech perception of noise with binary gains ', Journal of the Acoustical Society of America, vol. 124, no. 4, pp. 2303-2306 . https://doi.org/10.1121/1.2967865
For a given mixture of speech and noise, an ideal binary time‐frequency mask is constructed by whether SNR within individual time‐frequency units exceeds a local SNR criterion (LC). With linear filters, co‐reducing mixture SNR and LC does not a
Autor:
Mads Græsbøll Christensen, Ulrik Kjems, Jesper B. Boldt, Søren Holdt Jensen, Michael Syskind Pedersen
Publikováno v:
ICASSP
Boldt, J, Pedersen, M S, Kjems, U, Christensen, M G & Jensen, S H 2010, ' Error-Correction of Binary Masks using Hidden Markov Models ', I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, s. 4722-4725 . https://doi.org/10.1109/ICASSP.2010.5495182
Boldt, J, Pedersen, M S, Kjems, U, Christensen, M G & Jensen, S H 2010, ' Error-Correction of Binary Masks using Hidden Markov Models ', I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, s. 4722-4725 . https://doi.org/10.1109/ICASSP.2010.5495182
Binary masking is a simple and efficient method for source separation, and a high increase in intelligibility can be obtained by applying the target binary mask to noisy speech. The target binary mask can only be calculated under ideal conditions and
Publikováno v:
INTERSPEECH
In this research various objective quality measures are evaluated in order to predict the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise. The obtained results are compared with the pred
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Volume 2009 (2009), Article ID 925870, 16 pages
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Although most noise reduction algorithms are critically dependent on the noise power spectral density (PSD), most procedures for noise PSD estimation fail to obtain good estimates in nonstationary noise conditions. Recently, a DFT-subspace-based meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e911d087467944b0c0359b22ed251b9
http://resolver.tudelft.nl/uuid:f090be7c-69ff-44e6-94cf-6d6e473d4c0a
http://resolver.tudelft.nl/uuid:f090be7c-69ff-44e6-94cf-6d6e473d4c0a
Publikováno v:
ICASSP
Although noise PSD estimation is a crucial part of noise reduction algorithms, most noise PSD estimators have problems in tracking non-stationary noise sources. Recently, a noise PSD estimator based on DFT-subspace decompositions was proposed, which
Publikováno v:
Kjems, U, Boldt, J, Pedersen, M, Lunner, T & Wang, D 2009, ' Role of mask pattern in intelligibility of ideal binary-masked noisy speech ', Journal of the Acoustical Society of America, vol. 126, no. 3, pp. 1415-1426 . https://doi.org/10.1121/1.3179673
Intelligibility of ideal binary masked noisy speech was measured on a group of normal hearing individuals across mixture signal to noise ratio (SNR) levels, masker types, and local criteria for forming the binary mask. The binary mask is computed fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a882114401e750cf5a9a11dbe116db34
https://vbn.aau.dk/da/publications/697a3029-29d3-4afb-bdfc-8139b6a33b08
https://vbn.aau.dk/da/publications/697a3029-29d3-4afb-bdfc-8139b6a33b08
Publikováno v:
Wang, D, Kjems, U, Pedersen, M S, Boldt, J & Lunner, T 2009, ' Speech Intelligibility in Background Noise with Ideal Binary Time-frequency Masking ', Journal of the Acoustical Society of America, vol. 125, no. 4, pp. 2336-2347 .
Ideal binary time-frequency masking is a signal separation technique that retains mixture energy in time-frequency units where local signal-to-noise ratio exceeds a certain threshold and rejects mixture energy in other time-frequency units. Two exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22a0f630c0d9caee9457b6131577df84
https://vbn.aau.dk/da/publications/447b2190-c7d3-11dd-a016-000ea68e967b
https://vbn.aau.dk/da/publications/447b2190-c7d3-11dd-a016-000ea68e967b
Autor:
Michael Syskind Pedersen, Ulrik Kjems
Publikováno v:
The Journal of the Acoustical Society of America. 129:4096
This invention relates to a system (200) for determining directionality of a sound. The system (200) comprises a first audio device (202) placed on one side of a user's head (100) and having a first microphone unit (110, 112) for converting said soun