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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-40050
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/4005/


Phoneme recognition using acoustic events

Hübener, Kai ; Carson-Berndsen, Julie

Quelle: (1994) Saarbrücken, 1994
pdf-Format:
Dokument 1.pdf (241 KB)

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SWD-Schlagwörter: Künstliche Intelligenz
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Bandnummer: 15
Sprache: Englisch
Erstellungsjahr: 1994
Publikationsdatum: 22.07.2011
Kurzfassung auf Englisch: This paper presents a new approach to phoneme recognition using nonsequential sub-phoneme units. These units are called acoustic events and are phonologically meaningful as well as recognizable from speech signals. Acoustic events form a phonologically incomplete representation as compared to distinctive features. This problem may partly be overcome by incorporating phonological constraints. Currently, 24 binary events describing manner and place of articulation, vowel quality and voicing are used to recognize all German phonemes. Phoneme recognition in this paradigm consists of two steps: After the acoustic events have been determined from the speech signal, a phonological parser is used to generate syllable and phoneme hypotheses from the event lattice. Results obtained on a speaker-dependent corpus are presented.
Lizenz: Standard-Veröffentlichungsvertrag

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