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dc.contributor.authorWölfel, Matthias*
dc.date.accessioned2021-02-12T02:26:22Z
dc.date.available2021-02-12T02:26:22Z
dc.date.issued2009*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35183*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/58557
dc.description.abstractAutomatic transcription of lectures is becoming an important task. Possible applications can be found in the fields of automatic translation or summarization, information retrieval, digital libraries, education and communication research. Ideally those systems would operate on distant recordings, freeing the presenter from wearing body-mounted microphones. This task, however, is surpassingly difficult, given that the speech signal is severely degraded by background noise and reverberation.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.otherfeature enhancement*
dc.subject.otherspeech signal processing*
dc.subject.otherautomatic speech recognition*
dc.titleRobust automatic transcription of lectures*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000011992*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783866443945*
oapen.pagesXXVI, 173 p.*


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