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Hits 1 – 18 of 18
1
Data-driven voice source waveform analysis and synthesis
Jon Gudnason
;
Mark R. P. Thomas
;
Patrick A. Naylor
...
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Gudnason2009b.pdf (2012)
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2
Data-driven voice source waveform modelling
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
In: http://www.commsp.ee.ic.ac.uk/~jg/papers/Thomas2009a.pdf (2009)
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3
Data-driven voice source waveform modelling
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
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
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
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
Mark R. P. Thomas
;
Patrick A. Naylor
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
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
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
Mark R. P. Thomas
;
Patrick A. Naylor
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
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
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
Mark R. P. Thomas
;
Patrick A. Naylor
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
Jimi Y. C. Wen
;
Emanuël A. P. Habets
;
Patrick A. Naylor
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
Nikolay D. Gaubitch
;
Patrick A. Naylor
;
Darren B. Ward
In: http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1461.pdf (2004)
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12
Multi-microphone speech dereverberation using spatio-temporal averaging
Nikolay D. Gaubitch
;
Patrick A. Naylor
;
Darren B. Ward
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
Patrick A. Naylor
;
Anastasis Kounoudes
;
Jon Gudnason
...
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
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
;
Bernd Geiser
;
Peter Vary
In: http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Thomas2010a.pdf
Abstract:
Artificial bandwidth extension (ABWE) of speech signals aims to estimate wideband speech (50 Hz – 7 kHz) from narrowband signals (300 Hz – 3.4 kHz). Applying the source-filter model of speech, many existing algorithms estimate vocal tract filter parameters independently of the source signal. However, many current methods for extending the narrowband voice source signal are limited to straightforward signal processing techniques which are only effective for high-band estimation. This paper presents a method for ABWE that employs novel data-driven modelling and an existing spectral mirroring technique to estimate the wideband source signal in both the high and low extension bands. A state-of-the-art Hidden Markov Model-based estimator evaluates the temporal and spectral envelopes in the missing frequency bands, with which the ABWE speech signal is synthesized. Informal listening tests comparing two existing source estimation techniques and two permutations of the proposed approach show an improvement in the perceived bandwidth of speech signals, in particular towards low frequencies. Subjective tests on the same data show a preference for the proposed techniques over the existing methods under test. Index Terms — Speech enhancement, artificial bandwidth extension, voice source modelling
URL:
http://www.commsp.ee.ic.ac.uk/~mrt102/publications/Thomas2010a.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.2041
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15
Voice Source Waveform Analysis and Synthesis using Principal Component Analysis and Gaussian Mixture Modelling
Jon Gudnason
;
Mark R. P. Thomas
;
Patrick A. Naylor
...
In: http://labrosa.ee.columbia.edu/~dpwe/pubs/GudTNE09-voicesource.pdf
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16
DATA-DRIVEN VOICE SOURCE WAVEFORM MODELLING
Mark R. P. Thomas
;
Jon Gudnason
;
Patrick A. Naylor
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
Emanuël A. P. Habets
;
Nikolay D. Gaubitch
;
Patrick A. Naylor
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
Patrick A. Naylor
;
Nikolay D. Gaubitch
;
Dushyant Sharma
...
In: http://www.commsp.ee.ic.ac.uk/%7Endg/papers/naylor2010bochum.pdf
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