Please use this identifier to cite or link to this item:
doi:10.22028/D291-25316
Title: | A continuous speech recognition system using phonotactic constraints |
Author(s): | Plannerer, Bernd Ruske, Günther |
Language: | English |
Year of Publication: | 1996 |
SWD key words: | Künstliche Intelligenz |
Free key words: | artificial intelligence phonotactic constraints semicontinuous HMMs seed model generation Viterbi training |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | This paper describes a speaker-independent recognition system for continuous German speech based on semicontinuous Hidden-Markov-Models which produces a phonetic transcription of the spoken sentence. The recognition units are parts of syllables while the output is a phoneme level transcription. During recognition, the phonotactic constraints of German are taken into account by a micro syntax constrained Viterbi algorithm. A maximum likelihood training procedure based on Viterbi training together with a simple but efficient seed model generation algorithm is presented. |
Link to this record: | urn:nbn:de:bsz:291-scidok-53184 hdl:20.500.11880/25372 http://dx.doi.org/10.22028/D291-25316 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 123 |
Date of registration: | 13-Jun-2013 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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File | Description | Size | Format | |
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report_123_96.pdf | 62,35 kB | Adobe PDF | View/Open |
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