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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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