Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Thippur V. Sreenivas"'
Autor:
Thippur V. Sreenivas, Neeraj Sharma
Publikováno v:
Speech Communication. 105:77-91
Speech signals contain a fairly rich time-evolving spectral content. Accurate analysis of this time-evolving spectrum is an open challenge in signal processing. Towards this, we visit time-varying sinusoidal modeling of speech and propose an alternat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::204d63cdf73a57d99fd8f60c71d4bbd8
https://doi.org/10.1016/j.specom.2018.10.008
https://doi.org/10.1016/j.specom.2018.10.008
Autor:
S Arthi, Thippur V. Sreenivas
Publikováno v:
NCC
Localization of acoustic sources among hearing impaired (HI) listeners is known to be less satisfactory than normal hearing (NH) listeners and their performance worsens in the presence of interfering sources or noise. However new hearing aids are dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02e85ceb3908370bcc5ff3af9b73c2e1
https://doi.org/10.1109/ncc48643.2020.9056097
https://doi.org/10.1109/ncc48643.2020.9056097
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 26:1976-1990
Multiple source localization using time-differences of arrival (TDOAs ) is challenging because of the ambiguity involved in associating the TDOAs computed across microphone pairs to the sources. We show that the association ambiguity of the TDOAs can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad55f7cd14fec4330be5c996205fe7fa
https://doi.org/10.1109/taslp.2018.2851147
https://doi.org/10.1109/taslp.2018.2851147
Publikováno v:
IEEE Signal Processing Letters. 24:357-361
We consider the joint estimation of time-varying linear prediction (TVLP) filter coefficients and the excitation signal parameters for the analysis of long-term speech segments. Traditional approaches to TVLP estimation assume linear expansion of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0842fd8ccf6d9678ae0344b37249d19
https://doi.org/10.1109/lsp.2017.2662481
https://doi.org/10.1109/lsp.2017.2662481
Autor:
Thippur V. Sreenivas, S Arthi
Publikováno v:
TENCON
A study of rendering natural instrument sounds and vocals as an ensemble is presented. Using a single channel musical recording, a multi-channel signal is created by introducing delays and rendered in spatially distributed loudspeaker array. Three li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19a0bec126f89058e708832574c3bdb4
https://doi.org/10.1109/tencon.2019.8929725
https://doi.org/10.1109/tencon.2019.8929725
Publikováno v:
EUSIPCO
Blind inverse filtering using multi-channel linear prediction (MCLP) in short-time Fourier transform (STFT) domain is an effective means to enhance reverberant speech. Traditionally, a speech power spectral density (PSD) weighted prediction error (WP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a283b8684d697e889ca6af53db483a0
https://doi.org/10.23919/eusipco.2019.8902710
https://doi.org/10.23919/eusipco.2019.8902710
Publikováno v:
EUSIPCO
Segmentation/diarization of audio recordings using a network of ad-hoc mobile arrays and the spatial information gathered is a part of acoustic scene analysis. In this ad-hoc mobile array network, we assume fine (sample level) synchronization of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::830374feac079efa7d0ec8e82e186e76
https://doi.org/10.23919/eusipco.2019.8903089
https://doi.org/10.23919/eusipco.2019.8903089
Publikováno v:
IndraStra Global.
Multi-channel linear prediction (MCLP) can model the late reverberation in the short-time Fourier transform domain using a delayed linear predictor and the prediction residual is taken as the desired early reflection component. Traditionally, a Gauss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::340052a00b027873ec7450b635fdb0be
http://eprints.iisc.ac.in/62566/1/08675317.pdf
http://eprints.iisc.ac.in/62566/1/08675317.pdf
Publikováno v:
Sādhanā. 44
Indian Art Music has a huge variety of rāgas. The similarity across rāgas has traditionally been approached from various musicological viewpoints. This work aims at discovering structural similarities among renditions of rāgas using a data-driven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5cb430ab9f0e127bc14e8a23830e6ca
https://doi.org/10.1007/s12046-019-1112-2
https://doi.org/10.1007/s12046-019-1112-2
Publikováno v:
NCC
Segment clustering is a crucial step in unsupervised speaker diarization. Bottom-up approaches, such as, hierarchical agglomerative clustering technique are used traditionally for segment clustering. In this paper, we consider the top-down approach t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::696ee9a32fc72eb0835e4d8aa0f6e399
https://doi.org/10.1109/ncc.2019.8732210
https://doi.org/10.1109/ncc.2019.8732210