Voice modeling methods for automatic speaker recognition [Elektronische Ressource] / vorgelegt von Thilo Stadelmann

Voice Modeling Methodsfor Automatic Speaker RecognitionDissertationzur Erlangung des Doktorgrades der Naturwissenschaften(Dr. rer. nat.)dem Fachbereich Mathematik und Informatikder Philipps-Universit at Marburgvorgelegt vonThilo Stadelmanngeboren in LemgoMarburg, im April 2010Vom Fachbereich Mathematik und Informatik derPhilipps-Universit at Marburg als Dissertation am15. April 2010angenommen.Erstgutachter: Prof. Dr. Bernd FreislebenZweitgutachter: Prof. Dr. Alfred UltschTag der mundlic hen Prufung am 08. Juli 2010.AbstractBuilding a voice model means to capture the characteristics of a speaker’s voicein a data structure. This data structure is then used by a computer for furtherprocessing, such as comparison with other voices. Voice modeling is a vital stepin the process of automatic speaker recognition that itself is the foundation ofseveral applied technologies: (a) biometric authentication, (b) speech recognitionand (c) multimedia indexing.Several challenges arise in the context of automatic speaker recognition. First,there is the problem of data shortage, i.e., the unavailability of su ciently longutterances for speaker recognition. It stems from the fact that the speech signalconveys di erent aspects of the sound in a single, one-dimensional time series:linguistic (what is said?), prosodic (how is it said?), individual (who said it?),locational (where is the speaker?