Advances in Large Vocabulary Continuous Speech Recognition in Greek: Modeling and nonlinear features
dc.creator | Rodomagoulakis, I. | en |
dc.creator | Potamianos, G. | en |
dc.creator | Maragos, P. | en |
dc.date.accessioned | 2015-11-23T10:46:30Z | |
dc.date.available | 2015-11-23T10:46:30Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 9780992862602 | |
dc.identifier.issn | 22195491 | |
dc.identifier.uri | http://hdl.handle.net/11615/32660 | |
dc.description.abstract | The main goal of this work is the development of an improved Large Vocabulary Continuous Speech Recognition (LVCSR) framework in Greek. Language modeling is carried out in a collection of journalistic text and in the acoustic signal processing, a nonlinear approach is implemented for deriving features of the AM-FM type. Experimentation is carried out in both clean and simulated far-field speech offering insight about the acoustic modeling under adverse conditions with reverberation and additive ambient noise. Beyond the baseline implementation, a first step is made in exploring how standard (MFCCs and PLPs) and modulation features (AM-FM) behave in a LVCSR framework when the input speech is distant, like in real life home applications. © 2013 EURASIP. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84901374063&partnerID=40&md5=e416ac1ad8c2860d6b69f5854d1645ff | |
dc.subject | Acoustic modeling | en |
dc.subject | Language modeling | en |
dc.subject | Large Vocabulary Continuous Speech Recognition | en |
dc.subject | Speech Processing | en |
dc.subject | Amplitude modulation | en |
dc.subject | Computational linguistics | en |
dc.subject | Continuous speech recognition | en |
dc.subject | Acoustic model | en |
dc.subject | Ambient noise | en |
dc.subject | Home application | en |
dc.subject | Language model | en |
dc.subject | Modulation Features | en |
dc.subject | Nonlinear approach | en |
dc.subject | Nonlinear features | en |
dc.subject | Vocabulary control | en |
dc.title | Advances in Large Vocabulary Continuous Speech Recognition in Greek: Modeling and nonlinear features | en |
dc.type | conferenceItem | en |
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