Dissertation

Thesis Speech Enhancement

Integration of Short-Time Fourier Domain Speech Enhancement and Observation... Integration of Short-Time Fourier Domain Speech Enhancement and Observation...
This thesis explores the integration of speech enhancement techniques in the short-time ... speech enhancement and more complex speech enhancement methods like the advanced front- ... a speech enhancement method provides a point estimate of the STFT of the clean speech, ... to achieve a more robust ... ·

Thesis Speech Enhancement

Silva, isabel trancoso, inesc-id sentiment analysis without hand-coded features or linguistic resources using embedding subspaces international workshop on semantic evaluation (semeval), code httpsgithub. December 2013 12th workshop on innovative use of nlp for building educational applications , association for computational linguistics, pages 423-429, doi 10. June 2015 alberto abad, josé matos, hugo meinedo, ramon fernandez astudillo, isabel trancoso, the l2f system for the evalita-2014 speech activity detection challenge in domestic environments marco matassoni, ramon fernandez astudillo, athanasios katsamanis, mirco ravanelli, the dirha-grid corpus baseline and tools for multi-room distant speech recognition using distributed microphones a multichannel feature compensation approach for robust asr in noisy and reverberant environments reverberant voice enhancement and recognition benchmark (reverb) workshop, may 2014 accounting for the residual uncertainty of multi-layer perceptron based features international conference on acoustics, speech, and signal processing (icassp), pages 6859 - 6863, may 2014 a propagation approach to modelling the joint distributions of clean and corrupted speech in the mel-cepstral domain ieee automatic speech recognition and understanding workshop (asru), pages 180-185, december 2013 a flexible spatial blind source extraction framework for robust speech recognition in noisy environments 2nd international workshop on machine listening in multisource environments (chime), pages 33-38, june 2013 on the relation between speech corruption models in the spectral and the cepstral domain 38th international conference on acoustics, speech, and signal processing (icassp), ieee, pages 7044-7048, may 2013 uncertainty driven compensation of multi-stream mlp acoustic models for robust asr integration of beamforming and automatic speech recognition through propagation of the wiener posterior inventory-style speech enhancement with uncertainty-of-observation techniques thomas pellegrini, helena moniz, fernando batista, isabel trancoso, ramon fernandez astudillo, extension of the lectra corpus classroom lecture transcriptions in european portuguese propagation of uncertainty through multilayer perceptrons for robust automatic speech recognition dorothea kolossa, ramon fernandez astudillo, alberto abad, steffen zeiler, rahim saeidi, pejman mowlaee, joo paulo da silva neto, rainer martin, chime challenge approaches to robustness using beamforming and uncertainty-of-observation techniques chime workshop international workshop on machine listening in multisource environments, september 2011 rubén solera ureña, helena moniz, fernando batista, vera cabarro, annamaria pompili , ramon fernandez astudillo, isabel trancoso, uma abordagem de aprendizagem semi-supervisionada para a percepço automtica de personalidade, baseada em pistas acstico-prosdicas em domnios com poucos recursos xxxiv encontro nacional da associaço portuguesa de lingustica - 2018, lisbon, portugal, september 2018 robust speech processing using observation uncertainty and uncertainty propagation httpswww.

The approach proposed here replaces this point-estimate by a posterior distribution of the clean fourier coefficients given the observed noisy fourier coefficients. Diese verteilung kann dann durch die anwendung von observation uncertainty-techniken mit dem statistischen modell des asr-systems kombiniert werden, um eine robustere spracherkennung zu erreichen. Interspeech 2017, pages 929--933, doi 10.

This posterior represents the uncertainty or missing information after speech enhancement. Two observation uncertainty techniques, modified imputation and uncertainty decoding, were implemented in the widely used hidden markov model toolkit (htk) for this purpose. Asr systems perform best, however, in feature domains non-linearly related to the stft domain which facilitate the modeling of the acoustic space.

From 2016 i am senior research scientist at , keeping also an affiliation to inesc-id as associate researcher. Silva, isabel trancoso, ramon fernandez astudillo, slvio moreira, wang ling, bruno martins, mrio j. Lemos, ramon fernandez astudillo, angela costa, andré silva, hugo silva, joo graça, bhiksha raj, crowdsourced video subtitling with adaptation based on user-corrected lattices uncertain lda including observation uncertainties in discriminative transforms , ieee transactions on pattern analysis and machine intelligence, ieee, august 2015 noise-adaptive lda a new approach for speech recognition under observation uncertainty , ieee signal processing letters, ieee, vol.

This posterior of the clean speech features can then be combined with the statistical model of the asr system using observation uncertainty techniques to yield a more robust speech recognition. This thesis explores the integration of speech enhancement techniques in the short-time fourier transform (stft) domain with automatic speech recognizers (asrs) to achieve a more robust speech recognition. Advances in speech and language technologies for iberian languages third international conference, iberspeech 2016, lisbon, portugal, november 23-25, 2016, proceedings, lisbon, november 2016 alberto abad, eugénio alves ribeiro, fbio natanael kepler, ramon fernandez astudillo, isabel trancoso, exploiting phone log-likelihood ratio features for the detection of the native language of non-native english speakers andré t.

In 2010 i was awarded with a fct post-doctoral scholarship to join inesc-idl2f where i researched both robust speech recognition and robust natural language processing speech applications mixing deep learning and latent variable models. August 2013 computing mmse estimates and residual uncertainty directly in the feature domain of asr using stft domain speech distortion models , ieee transactions on audio, speech, and language processing, ieee, vol. Lecture notes in computer science, pages 192--201, doi 10. Regarding the propagation of uncertainty, a piecewise approach combining closed-form solutions and pseudo-montecarlo methods was developed to propagate the above mentioned uncertainty models through various types of feature extractions. Für störgeräuschunterdrückungsmethoden nach dem minimum mean square error-(mmse-) kriterium sowie nach dem komplexen vom european telecommunications standards institute (etsi) spezifizierten advanced front-end (afe) wurden methoden zur schätzung der unsicherheit entwickelt.


Ramon Fernandez Astudillo - L²F


In my thesis "Integration of Short-Time Fourier Domain Speech Enhancement and Observation ... Inventory-Style Speech Enhancement with Uncertainty-of-Observation Techniques, In ICASSP ... Corpus-Based Speech Enhancement With Uncertainty Modeling and Cepstral Smoothing, IEEE ... Integration of DNN Based ... ·

Thesis Speech Enhancement


These. Four speech enhancement cases have been considered: no. uncertainty scores rs can ... must be however taken into account that speech enhancement. on Speech and Audio ... The simplest of these techniques is to compute the. of the speech features attained by ... 1, left, speech enhancement in ... ·
Thesis Speech Enhancement Two observation uncertainty techniques, modified imputation and uncertainty decoding, were implemented in the widely used hidden markov model toolkit (htk) for this purpose. ·. Für störgeräuschunterdrückungsmethoden nach dem minimum mean square error-(mmse-) kriterium sowie nach dem komplexen vom european telecommunications standards institute (etsi) spezifizierten advanced front-end (afe) wurden methoden zur schätzung der unsicherheit entwickelt. ·. These were reported by. a speech enhancement method provides a point estimate of the STFT of the clean speech,. In bezug auf die transformation der unsicherheit in dem merkmals-bereich wurde ein schrittweiser ansatz entwickelt, der geschlossene lösungen und pseudo-montecarlo-methoden kombiniert. Each of these uses an alternative method of creating speech-like phonation to that. I obtained the industrial engineering degree with specialization electronics in automatic regulation at the (spain) in 2005, completing the last year and final thesis of this degree with an erasmus scholarship at the. Methods for the computation of the uncertainty of estimation for minimum mean square error (mmse) speech enhancement and more complex speech enhancement methods like the advanced front-end (afe) described by the european telecommunications standards institute (etsi) were also developed.
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    Regarding the propagation of uncertainty, a piecewise approach combining closed-form solutions and pseudo-montecarlo methods was developed to propagate the above mentioned uncertainty models through various types of feature extractions. I obtained the title with distinction in 2010 in the fields of speech processing and robust automatic speech recognition. Methods for the computation of the uncertainty of estimation for minimum mean square error (mmse) speech enhancement and more complex speech enhancement methods like the advanced front-end (afe) described by the european telecommunications standards institute (etsi) were also developed. Durch die transformation dieser unsicheren beschreibung des sauberen signals in den erkennungs-bereich, wird eine a posteriori-verteilung der sauberen sprachmerkmale auf basis der beobachtbaren information gewonnen. The extension of the mmse estimators to supergaussian a priori distributions using complex gaussian mixture models and its effect on the uncertainty distributions was also explored.

    Asr-systeme sind jedoch leistungsfähiger in bereichen, die nichtlinearen transformationen des stft-bereichs entsprechen und in denen die modellierung des akustischen raums einfacher ist. Silva, isabel trancoso, inesc-id at semeval-2016 task 4-a reducing the problem of out-of-embedding words international workshop on semantic evaluation (semeval-2016), pages 238--242, july 2016 wang ling, tiago lus, lus marujo, ramon fernandez astudillo, slvio moreira, chris dyer, alan black, isabel trancoso, finding function in form compositional character models for open vocabulary word representation 2015 conference on empirical methods in natural language processing (emnlp 2015), acl, lisbon, portugal, september 2015 ramon fernandez astudillo, maria joana ribeiro folgado correia, isabel trancoso, wang ling, lin chu-cheng, yulia tsvetkov, slvio moreira, ramon fernandez astudillo, chris dyer, alan black, isabel trancoso, not all contexts are created equal better word representations with variable attention christian huemmer, roland maas, andreas schwarz, ramon fernandez astudillo, walter kellermann, ramon fernandez astudillo, slvio moreira, wang ling, mrio j. I am also co-founder of the special interest group for robust speech processing ( i am an iscaacl member and review in signal processing and machine learning journals and congresses (ieee-taslpspl, csl, interspeech, nips and emnlp among others). On this same year i was awarded with a and the german academic exchange service (daad) scholarship for research towards the ph. Conventional speech enhancement techniques work in the stft domain where the interaction of speech and noise is easier to model.

    This posterior represents the uncertainty or missing information after speech enhancement. July 2015 slvio moreira, ramon fernandez astudillo, wang ling, bruno martins, mrio j. Typischerweise liefert eine störgeräuschunterdrückungsmethode eine punktschätzung der stft der sauberen sprache, die direkt in den merkmals-bereich, in dem das asr-system arbeitet, transformiert wird. June 2015 alberto abad, josé matos, hugo meinedo, ramon fernandez astudillo, isabel trancoso, the l2f system for the evalita-2014 speech activity detection challenge in domestic environments marco matassoni, ramon fernandez astudillo, athanasios katsamanis, mirco ravanelli, the dirha-grid corpus baseline and tools for multi-room distant speech recognition using distributed microphones a multichannel feature compensation approach for robust asr in noisy and reverberant environments reverberant voice enhancement and recognition benchmark (reverb) workshop, may 2014 accounting for the residual uncertainty of multi-layer perceptron based features international conference on acoustics, speech, and signal processing (icassp), pages 6859 - 6863, may 2014 a propagation approach to modelling the joint distributions of clean and corrupted speech in the mel-cepstral domain ieee automatic speech recognition and understanding workshop (asru), pages 180-185, december 2013 a flexible spatial blind source extraction framework for robust speech recognition in noisy environments 2nd international workshop on machine listening in multisource environments (chime), pages 33-38, june 2013 on the relation between speech corruption models in the spectral and the cepstral domain 38th international conference on acoustics, speech, and signal processing (icassp), ieee, pages 7044-7048, may 2013 uncertainty driven compensation of multi-stream mlp acoustic models for robust asr integration of beamforming and automatic speech recognition through propagation of the wiener posterior inventory-style speech enhancement with uncertainty-of-observation techniques thomas pellegrini, helena moniz, fernando batista, isabel trancoso, ramon fernandez astudillo, extension of the lectra corpus classroom lecture transcriptions in european portuguese propagation of uncertainty through multilayer perceptrons for robust automatic speech recognition dorothea kolossa, ramon fernandez astudillo, alberto abad, steffen zeiler, rahim saeidi, pejman mowlaee, joo paulo da silva neto, rainer martin, chime challenge approaches to robustness using beamforming and uncertainty-of-observation techniques chime workshop international workshop on machine listening in multisource environments, september 2011 rubén solera ureña, helena moniz, fernando batista, vera cabarro, annamaria pompili , ramon fernandez astudillo, isabel trancoso, uma abordagem de aprendizagem semi-supervisionada para a percepço automtica de personalidade, baseada em pistas acstico-prosdicas em domnios com poucos recursos xxxiv encontro nacional da associaço portuguesa de lingustica - 2018, lisbon, portugal, september 2018 robust speech processing using observation uncertainty and uncertainty propagation httpswww. Diese betreffen das mel-cepstrum, die rasta-plp-koefficienten sowie weitere merkmale im afe. . It is hard to find things that do not interest me, but artificial and crowd intelligence seem particularly motivating in this moment in history. Regarding the estimation and modeling of uncertainty, models based on the complex gaussian and non-central chi distributions are introduced. In bezug auf die schätzung und modellierung von unsicherheit wurden modelle auf der basis von komplexen gauss- und nicht-zentralen chi-verteilungen eingeführt. In 2006 i worked as an intern at peiker acustic researching model-based speech enhancement.

    Speech Impaired Summer Camps at KidsCamps.com - Internet's most comprehensive directory ... These camps are specially designed for those with speech problems of all kinds. Kids ... performance enhancement and public speaking. Some programs are sleep-away camps, while ... These camps are specially ... ·

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    These are used to allow a PINT client to register an interest in (or "subscribe" to) the ... The enhancements and additions specified here are not intended to alter the behaviour of ... First some included text is read out by text-to-speech. Then some text that is stored at ... In any of these cases, ... ·
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    Regarding the propagation of uncertainty, a piecewise approach combining closed-form solutions and pseudo-montecarlo methods was developed to propagate the above mentioned uncertainty models through various types of feature extractions. Asr systems perform best, however, in feature domains non-linearly related to the stft domain which facilitate the modeling of the acoustic space. July 2015 slvio moreira, ramon fernandez astudillo, wang ling, bruno martins, mrio j. The proposed algorithms were tested using the aurora5 test environment and the jeida noise database. In 2006 i worked as an intern at peiker acustic researching model-based speech enhancement.

    Silva, isabel trancoso, ramon fernandez astudillo, slvio moreira, wang ling, bruno martins, mrio j Buy now Thesis Speech Enhancement

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    Der hier vorgeschlagene ansatz ersetzt diese punkt-schätzung durch eine a posteriori-verteilung der sauberen fourierkoeffizienten bei gegebenen beobachteten gestörten fourierkoeffizienten. Die vorgeschlagenen algorithmen wurden mit der aurora5-testumgebung und der jeida-geräusch-datenbank getestet. This posterior of the clean speech features can then be combined with the statistical model of the asr system using observation uncertainty techniques to yield a more robust speech recognition. In 2010 i was awarded with a fct post-doctoral scholarship to join inesc-idl2f where i researched both robust speech recognition and robust natural language processing speech applications mixing deep learning and latent variable models Thesis Speech Enhancement Buy now

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    September 2017 rubén solera ureña, helena moniz, fernando batista, vera cabarro, annamaria pompili , ramon fernandez astudillo, joana carvalho filipe de campos, ana paiva, isabel trancoso, a semi-supervised learning approach for acoustic-prosodic personality perception in under-resourced domains proc. It is hard to find things that do not interest me, but artificial and crowd intelligence seem particularly motivating in this moment in history. The proposed algorithms were tested using the aurora5 test environment and the jeida noise database. Damit können die oben genannten modelle durch verschiedene verfahren zur merkmalsextraktion propagiert werden. Silva, isabel trancoso, ramon fernandez astudillo, slvio moreira, wang ling, bruno martins, mrio j Buy Thesis Speech Enhancement at a discount

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    Für störgeräuschunterdrückungsmethoden nach dem minimum mean square error-(mmse-) kriterium sowie nach dem komplexen vom european telecommunications standards institute (etsi) spezifizierten advanced front-end (afe) wurden methoden zur schätzung der unsicherheit entwickelt. Conventional speech enhancement techniques work in the stft domain where the interaction of speech and noise is easier to model. Typischerweise liefert eine störgeräuschunterdrückungsmethode eine punktschätzung der stft der sauberen sprache, die direkt in den merkmals-bereich, in dem das asr-system arbeitet, transformiert wird. Asr-systeme sind jedoch leistungsfähiger in bereichen, die nichtlinearen transformationen des stft-bereichs entsprechen und in denen die modellierung des akustischen raums einfacher ist Buy Online Thesis Speech Enhancement

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    Die vorgeschlagenen algorithmen zeigen eine deutliche verbesserung gegenüber den afe- und mmse-störgeräuschunterdrückungsmethoden bei lediglich geringer erhöhung der komplexität. December 2013 12th workshop on innovative use of nlp for building educational applications , association for computational linguistics, pages 423-429, doi 10. September 2017 rubén solera ureña, helena moniz, fernando batista, vera cabarro, annamaria pompili , ramon fernandez astudillo, joana carvalho filipe de campos, ana paiva, isabel trancoso, a semi-supervised learning approach for acoustic-prosodic personality perception in under-resourced domains proc. In 2010 i was awarded with a fct post-doctoral scholarship to join inesc-idl2f where i researched both robust speech recognition and robust natural language processing speech applications mixing deep learning and latent variable models Buy Thesis Speech Enhancement Online at a discount

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    The extension of the mmse estimators to supergaussian a priori distributions using complex gaussian mixture models and its effect on the uncertainty distributions was also explored. Die beiden observation uncertainty-techniken modified imputation und uncertainty decoding, wurden zu diesem zweck in dem weit verbreiteten hidden markov model toolkit (htk) implementiert. Stockholm, sweeden, august 2017 miguel varela ramos, alan black, ramon fernandez astudillo, isabel trancoso, nuno fonseca, rubén solera ureña, helena moniz, fernando batista, ramon fernandez astudillo, joana carvalho filipe de campos, ana paiva, isabel trancoso, acoustic-prosodic automatic personality trait assessment for adults and children iberspeech 2016, springer international publishing, vol Thesis Speech Enhancement For Sale

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    December 2013 12th workshop on innovative use of nlp for building educational applications , association for computational linguistics, pages 423-429, doi 10. Der hier vorgeschlagene ansatz ersetzt diese punkt-schätzung durch eine a posteriori-verteilung der sauberen fourierkoeffizienten bei gegebenen beobachteten gestörten fourierkoeffizienten. By transforming this uncertain description of the clean signal into the feature domain of the asr, a posterior distribution of the clean speech features given the observable information can be obtained. Methods for the computation of the uncertainty of estimation for minimum mean square error (mmse) speech enhancement and more complex speech enhancement methods like the advanced front-end (afe) described by the european telecommunications standards institute (etsi) were also developed For Sale Thesis Speech Enhancement

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    In bezug auf die transformation der unsicherheit in dem merkmals-bereich wurde ein schrittweiser ansatz entwickelt, der geschlossene lösungen und pseudo-montecarlo-methoden kombiniert. The approach proposed here replaces this point-estimate by a posterior distribution of the clean fourier coefficients given the observed noisy fourier coefficients. Stockholm, sweeden, august 2017 miguel varela ramos, alan black, ramon fernandez astudillo, isabel trancoso, nuno fonseca, rubén solera ureña, helena moniz, fernando batista, ramon fernandez astudillo, joana carvalho filipe de campos, ana paiva, isabel trancoso, acoustic-prosodic automatic personality trait assessment for adults and children iberspeech 2016, springer international publishing, vol Sale Thesis Speech Enhancement

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