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Ingrid Jafari
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2010 – 2019
- 2014
- [c8]Matt Atcheson, Ingrid Jafari, Roberto Togneri
, Sven Nordholm
:
On the use of contextual time-frequency information for full-band clustering-based convolutive blind source separation. ICASSP 2014: 2114-2118 - [c7]Joshua Hollick, Ingrid Jafari, Roberto Togneri
, Sven Nordholm
:
Source number estimation in reverberant conditions via full-band weighted, adaptive fuzzy c-means clustering. ICASSP 2014: 7450-7454 - [c6]Ingrid Jafari, Roberto Togneri, Sven Nordholm:
On the use of the Watson mixture model for clustering-based under-determined blind source separation. INTERSPEECH 2014: 988-992 - [c5]Ingrid Jafari, Matt Atcheson, Roberto Togneri
, Sven Nordholm
:
Time-frequency clustering with weighted and contextual information for convolutive blind source separation. SSP 2014: 157-160 - 2013
- [j1]Ingrid Jafari, Serajul Haque, Roberto Togneri
, Sven Nordholm
:
Evaluations on underdetermined blind source separation in adverse environments using time-frequency masking. EURASIP J. Adv. Signal Process. 2013: 162 (2013) - [c4]Ingrid Jafari, Nobutaka Ito, Mehrez Souden, Shoko Araki
, Tomohiro Nakatani:
Source number estimation based on clustering of speech activity sequences for microphone array processing. MLSP 2013: 1-6 - 2012
- [c3]Ingrid Jafari, Serajul Haque, Roberto Togneri, Sven Nordholm
:
On the integration of time-frequency masking speech separation and recognition in underdetermined environments. ACSCC 2012: 1613-1617 - [c2]Ingrid Jafari, Roberto Togneri, Sven Nordholm
:
A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors. ICASSP 2012: 2413-2416 - 2011
- [c1]Ingrid Jafari, Serajul Haque, Roberto Togneri, Sven Nordholm:
Underdetermined Blind Source Separation with Fuzzy Clustering for Arbitrarily Arranged Sensors. INTERSPEECH 2011: 1753-1756
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