Please use this identifier to cite or link to this item: doi:10.22028/D291-25118
Title: Going back to the source : inverse filtering of the speech signal with ANNs
Author(s): Denzler, Joachim
Kompe, R.
Kießling, A.
Niemann, H.
Nöth, E.
Language: English
Year of Publication: 1994
OPUS Source: Saarbrücken, 1994
SWD key words: Künstliche Intelligenz
Free key words: ANN
inverse filtering
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In this paper we present a new method transforming speech signals to voice source signals (VSS) using artificial neural networks (ANN). We will point out that the ANN mapping of speech signals into source signals is quite accurate, and most of the irregularities in the speech signal will lead to an irregularity in the source signal, produced by the ANN (ANN-VSS). We will show that the mapping of the ANN is robust with respect to untrained speakers, different recording conditions and facilities, and different vocabularies. We will also present preliminary results which show that from the ANN source signal pitch periods can be determined accurately.
Link to this record: urn:nbn:de:bsz:291-scidok-40680
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 32
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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