Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Volker Leutnant"'
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5a64e9056ef4c56e48b85ff80cbb26
https://doi.org/10.21437/interspeech.2020-2514
https://doi.org/10.21437/interspeech.2020-2514
Autor:
Langzhou Chen, Volker Leutnant
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::368de0d2aa24e8166ddef2977ac852fb
https://doi.org/10.21437/interspeech.2019-2818
https://doi.org/10.21437/interspeech.2019-2818
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22:95-109
In this contribution we present a theoretical and experimental investigation into the effects of reverberation and noise on features in the logarithmic mel power spectral domain, an intermediate stage in the computation of the mel frequency cepstral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666729f4715d312ad6ef1ae7573b4ff1
https://doi.org/10.1109/taslp.2013.2285480
https://doi.org/10.1109/taslp.2013.2285480
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 21:1640-1652
In this contribution we extend a previously proposed Bayesian approach for the enhancement of reverberant logarithmic mel power spectral coefficients for robust automatic speech recognition to the additional compensation of background noise. A recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3095c254e120a0a1acd4e2726376836
https://doi.org/10.1109/tasl.2013.2258013
https://doi.org/10.1109/tasl.2013.2258013
Autor:
Keisuke Kinoshita, Marc Delcroix, Takuya Yoshioka, Tomohiro Nakatani, Emanuel Habets, Reinhold Haeb-Umbach, Volker Leutnant, Armin Sehr, Walter Kellermann, Roland Maas, Sharon Gannot, Bhiksha Raj
Publikováno v:
WASPAA
Recently, substantial progress has been made in the field of reverberant speech signal processing, including both single- and multichannel dereverberation techniques, and automatic speech recognition (ASR) techniques robust to reverberation. To evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b8875535f3d4ec6ec5ef2b6817f7dea
https://doi.org/10.1109/waspaa.2013.6701894
https://doi.org/10.1109/waspaa.2013.6701894
Autor:
Dorothea Kolossa, Ahmed Hussen Abdelaziz, Steffen Zeiler, Volker Leutnant, Reinhold Haeb-Umbach
Publikováno v:
ICASSP
The accuracy of automatic speech recognition systems in noisy and reverberant environments can be improved notably by exploiting the uncertainty of the estimated speech features using so-called uncertainty-of-observation techniques. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bcc9af431d46f491b9d4a6261aca168
https://doi.org/10.1109/icassp.2013.6638984
https://doi.org/10.1109/icassp.2013.6638984
Publikováno v:
2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012).
In this work, an observation model for the joint compensation of noise and reverberation in the logarithmic mel power spectral density domain is considered. It relates the features of the noisy reverberant speech to those of the non-reverberant speec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e08601048baeee57653170b588cbe889
https://doi.org/10.1109/icspcc.2012.6335731
https://doi.org/10.1109/icspcc.2012.6335731
Autor:
Volker Leutnant, Reinhold Haeb-Umbach
Publikováno v:
Robust Speech Recognition of Uncertain or Missing Data ISBN: 9783642213168
Robust Speech Recognition of Uncertain or Missing Data
Robust Speech Recognition of Uncertain or Missing Data
In this contribution, conditional Bayesian estimation employing a phasesensitive observation model for noise robust speech recognition will be studied. After a review of speech recognition under the presence of corrupted features, termed uncertainty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b4a32e19549265a4199c32a5a6ee7f
https://doi.org/10.1007/978-3-642-21317-5_8
https://doi.org/10.1007/978-3-642-21317-5_8
Publikováno v:
Communications in Computer and Information Science ISBN: 9783540853787
AmI Workshops
AmI Workshops
The Amigo Context Management Service (CMS) provides an open infrastructure for the exchange of contextual information between context sources and context clients. Whereas context sources supply context information, retrieved from sensors or services
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d81bee0c8a11dc81dd8bfbf38e87c151
https://doi.org/10.1007/978-3-540-85379-4_45
https://doi.org/10.1007/978-3-540-85379-4_45
Autor:
Takuya Yoshioka, Marc Delcroix, Roland Maas, Reinhold Haeb-Umbach, Volker Leutnant, Tomohiro Nakatani, Walter Kellermann, Bhiksha Raj, Keisuke Kinoshita, Emanuel A. P. Habets, Armin Sehr, Sharon Gannot
Publikováno v:
EURASIP Journal on Advances in Signal Processing. 2016(1)
In recent years, substantial progress has been made in the field of reverberant speech signal processing, including both single- and multichannel dereverberation techniques and automatic speech recognition (ASR) techniques that are robust to reverber
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0baf69589247ce9d9d034d540947eb0c