Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Devangi N. Parikh"'
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c56d820c648747ad19e9d0628e09588
https://doi.org/10.1109/ipdpsw55747.2022.00060
https://doi.org/10.1109/ipdpsw55747.2022.00060
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783030432287
PPAM (1)
PPAM (1)
Small prime-sized discrete Fourier transforms appear in various applications from quantum mechanics, material sciences and machine learning. The typical implementation of the discrete Fourier transform for such problem sizes is done as a cyclic convo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71c4ffd21a11f188d43daa5a00ae6a1b
https://doi.org/10.1007/978-3-030-43229-4_15
https://doi.org/10.1007/978-3-030-43229-4_15
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 20:1372-1382
Different noise-reduction methods have been proposed in the literature for single and multiple-microphone applications. For binaural hearing aids, multiple-microphone noise-reduction methods offer two significant psycho-acoustical advantages with res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efbd7b367fa3fe40535929d688fc5baa
https://doi.org/10.1109/tasl.2011.2179295
https://doi.org/10.1109/tasl.2011.2179295
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e64179bc4f8988d0f2060901ea5e7949
https://doi.org/10.21437/interspeech.2011-86
https://doi.org/10.21437/interspeech.2011-86
Autor:
David V. Anderson, Devangi N. Parikh
Publikováno v:
2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).
In an environment with multiple audio sources, blind source separation (BSS) makes use of multiple microphone signals to estimate the respective source signals. Under normal circumstances, it is not possible to completely “unmix” the audio source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee12d03d36dcb598030d238e64292aa3
https://doi.org/10.1109/dsp-spe.2011.5739233
https://doi.org/10.1109/dsp-spe.2011.5739233
Autor:
David V. Anderson, Devangi N. Parikh
Publikováno v:
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.
Most of the state of the art speech noise suppression gains rely on the frequency decomposition of the signal. This decomposition is usually done using the fast Fourier transform. These algorithms may be successful in suppressing the noise but often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c124fd432f921b82c411019f025c6a51
https://doi.org/10.1109/acssc.2010.5757476
https://doi.org/10.1109/acssc.2010.5757476
Publikováno v:
ICASSP
For cell-phone applications, single microphone noise suppression techniques have limited performance at very low SNR (close to 0 dB). In certain cases, they also suffer from the artifacts of nonlinear processing. In this paper, we will show that tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::659e17e16d805ba0eb138563fbd1183e
https://doi.org/10.1109/icassp.2010.5495536
https://doi.org/10.1109/icassp.2010.5495536
Publikováno v:
WASPAA
In this paper we describe a technique that uses adaptive gain control to achieve noise suppression in speech signals. The method used to map the dynamic range of the signal is based on the human auditory perceptual model. Since the processing is base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7dbebe27d1639e8949ff1130b1a8488
https://doi.org/10.1109/aspaa.2009.5346522
https://doi.org/10.1109/aspaa.2009.5346522