Please use this identifier to cite or link to this item:
doi:10.22028/D291-25119
Title: | Pitch determination considering laryngealization effects in spoken dialogs |
Author(s): | Niemann, Heinrich Denzler, J. Kahles, B. Kompe, R. Kiessling, A. Nöth, E. Strom, V. |
Language: | English |
Year of Publication: | 1994 |
OPUS Source: | Saarbrücken, 1994 |
SWD key words: | Künstliche Intelligenz |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | A frequent phenomenon in spoken dialogs of the information seeking type are short elliptic utterances whose mood (declarative or interrogative) can only be distinguished by intonation. The main acoustic evidence is conveyed by the fundamental frequency or Fo-contour. Many algorithms for Fo determination have been reported in the literature. A common problem are irregularities of speech known as "laryngealizations". This article describes an approach based on neural network techniques for the improved determination of fundamental frequency. First, an improved version of our neural network algorithm for reconstruction of the voice source signal (glottis signal) is presented. Second, the reconstructed voice source signal is used as input to another neural network distinguishing the three classes "voiceless", "voiced non-laryngealized", and "voiced laryngealized". Third, the results are used to improve an existing Fo algorithm. Results of this approach are presented and discussed in the context of the application in a spoken dialog system. |
Link to this record: | urn:nbn:de:bsz:291-scidok-40699 hdl:20.500.11880/25175 http://dx.doi.org/10.22028/D291-25119 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 33 |
Date of registration: | 2-Aug-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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