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1
Data-driven voice source waveform analysis and synthesis
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Gudnason2009b.pdf (2012)
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2
Data-driven voice source waveform modelling
In: http://www.commsp.ee.ic.ac.uk/~jg/papers/Thomas2009a.pdf (2009)
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3
Data-driven voice source waveform modelling
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Thomas2009.pdf (2009)
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4
Application of the DYPSA Algorithm to Segmented Time-Scale Modification of Speech
In: http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569101951.pdf (2008)
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5
The SIGMA algorithm for estimation of reference-quality glottal closure instants from electroglottograph signals
In: http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569101953.pdf (2008)
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6
Application of the DYPSA Algorithm to Segmented Time-Scale Modification of Speech
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Thomas2008b.pdf (2008)
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7
The SIGMA Algorithm for Estimation of Reference-Quality Glottal Closure Instants from Electroglottograph Signals
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Thomas2008c.pdf (2008)
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8
Application of the DYPSA algorithm to segmented time-scale modification of speech
In: http://www.ee.ic.ac.uk/hp/staff/pnaylor/PDFs/Thomas2008.pdf (2008)
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9
The SIGMA algorithm for estimation of reference-quality glottal closure instants from electroglottograph signals
In: http://www.ee.ic.ac.uk/hp/staff/pnaylor/PDFs/Thomas2008a.pdf (2008)
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10
Blind estimation of reverberation time based on the distribution of signal decay rates
In: http://www.ee.ic.ac.uk/hp/staff/pnaylor/PDFs/Wen2008.pdf (2008)
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11
Multi-microphone speech dereverberation using spatio-temporal averaging
In: http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1461.pdf (2004)
Abstract: The use of the source-lter speech production model in meth-ods for enhancement of reverberant speech has received con-siderable attention over the last few years. Furthermore, it has most recently been shown that spatial averaging of the linear prediction (LP) coefcients is required to improve ac-curacy in implementation of these types of algorithms. In this paper, we suggest and demonstrate experimentally that LP coefcients obtained from spatially averaged multi-channel speech signals achieve an equally satisfactory result. Con-sequently, we propose a novel multi-channel speech derever-beration approach operating on the LP residual, utilizing a combination of spatial averaging and a new approach based on inter-cycle temporal averaging. Simulation results and in-formal listening tests indicate an improvement in terms of direct-to-reverberant sound ratio and in perceived quality of the enhanced speech. 1.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.562.3564
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1461.pdf
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12
Multi-microphone speech dereverberation using spatio-temporal averaging
In: http://www.ee.ic.ac.uk/hp/staff/pnaylor/PDFs/Gaubitch2004.pdf (2004)
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13
Estimation of Glottal Closure Instants in Voiced Speech using the DYPSA Algorithm
In: https://spiral.imperial.ac.uk:8443/bitstream/10044/1/678/1/Estimation of glottal closure.pdf
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14
VOICE SOURCE ESTIMATION FOR ARTIFICIAL BANDWIDTH EXTENSION OF TELEPHONE SPEECH
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Thomas2010a.pdf
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15
Voice Source Waveform Analysis and Synthesis using Principal Component Analysis and Gaussian Mixture Modelling
In: http://labrosa.ee.columbia.edu/~dpwe/pubs/GudTNE09-voicesource.pdf
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16
DATA-DRIVEN VOICE SOURCE WAVEFORM MODELLING
In: http://www.ee.ic.ac.uk/hp/staff/pnaylor/PDFs/Thomas2009a.pdf
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17
TEMPORAL SELECTIVE DEREVERBERATION OF NOISY SPEECH USING ONE MICROPHONE
In: http://www.ee.ic.ac.uk/hp/staff/pnaylor/PDFs/Habets2008.pdf
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18
Intelligibility Estimation in Law Enforcement Speech Processing
In: http://www.commsp.ee.ic.ac.uk/%7Endg/papers/naylor2010bochum.pdf
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