Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Spracherkennung"”.
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Statistische Auswahl von Wortabhängigkeiten in der automatischen Spracherkennung
This PhD thesis studies the overall effect of statistical language modeling on perplexity and word error rate in automatic speech recognition. A trigram language model with a standard smoothing method is extended by complex state-of-the-art language modeling techniques, including: the comparison of …
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A microscopic model of speech recognition for listeners with normal and impaired hearing
… ein mikroskopisches Modell der menschlichen Spracherkennung (HSR) vor; mikroskopisch bedeutet erstens, dass die Erkennung einzelner Phoneme (und nicht die Erkennung ganzer Sätze) modelliert wird. Zweitens wird die genaue spektro-temporale Struktur von Sprache mit einem auditorischen Modell …
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Incremental spoken dialogue processing : architecture and lower-level components
… detaillierte Analyse auf signalnahe Komponenten (Spracherkennung und -synthese); Module übergeordneter Abstraktionsgrade sind in den Beispielsystemen teilweise weniger ausgefeilt, oder nur simuliert. Die Leitfrage der Arbeit ist, inwieweit feingliedrig schritthaltende Verarbeitung technisch …
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Human and automatic speech recognition in the presence of speech-intrinsic variations
… ist die Analyse und Verbesserung automatischer Spracherkennung (ASR). Da das menschliche auditorische System heutigen ASR-System weit überlegen ist, wurde zunächst die Erkennungsleistung von Mensch und Maschine verglichen. Aus den spezifischen Unterschieden wurden Rückschlüsse auf …
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Model-based prediction of the benefit with rehabilitative hearing devices
… und die kognitive Leistung bei der Spracherkennung.
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Encounters with neighbours
… aus den Gebieten der Molekularbiologie und der Spracherkennung unterstreichen das Potential dieser Methode.
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Continuous automatic classification of seismic signals of volcanic origin at Mt. Merapi, Java, Indonesia
… Erkennungssysteme in der automatischen Spracherkennung erlangt haben. Für eine erfolgreiche Implementierung eines Mustererkennungssytems ist es notwendig, eine geeignete Parametrisierung der Rohdaten vorzunehmen. Basierend auf den Erfahrungswerten seismologischer Observatorien wird ein …
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Investigations on discriminative training criteria
In this work, a framework for efficient discriminative training and modeling is developed and implemented for both small and large vocabulary continuous speech recognition. Special attention will be directed to the comparison and formalization of varying discriminative training criteria and …
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Diskriminative Modellkombination in Spracherkennungssystemen mit großem Wortschatz
In this work, the theory of Discriminative Model Combination, DMC, is developed and implemented for large vocabulary continuous speech recognition. DMC is based on a discriminative training of the free parameters of distributions belonging to the exponential family. It is independent of the …
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Normalization in the acoustic feature space for improved speech recognition
In this work, normalization techniques in the acoustic feature space are studied which improve the robustness of automatic speech recognition systems. It is shown that there is a fundamental mismatch between training and test data which causes degraded recognition performance. Adaptation and …
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Quantile based histogram equalization for noise robust speech recognition
In many practical applications automatic speech recognition systems have to work in adverse acoustic environment conditions. Automatic systems are much more sensitive to the variabilities of the acoustic signal than humans. Whenever noise causes a mismatch between the distribution of the training …
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Investigations on linear transformations for speaker adaptation and normalization
This thesis deals with linear transformations at various stages of the automatic speech recognition process. In current state-of-the-art speech recognition systems linear transformations are widely used to care for a potential mismatch of the training and testing data and thus enhance the …
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Combining natural language processing systems to improve machine translation of speech
Machine translation of spoken language is a challenging task that involves several natural language processing (NLP) software modules. Human speech in one natural language has to be first automatically transcribed by a speech recognition system. Next, the transcription of the spoken utterance can …
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Multilinguals' language control
For several decades, researchers have tried to explain how speakers of more than one language (multilinguals) manage to keep their languages separate and to switch from one language to the other depending on the context. This ability of multilingual speakers to use the intended language, while …
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Acoustic feature combination for speech recognition
In this thesis, the use of multiple acoustic features of the speech signal is considered for speech recognition. The goals of this thesis are twofold: on the one hand, new acoustic features are developed, on the other hand, feature combination methods are investigated in order to find an effective …
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Modeling spontaneous speech variability for large vocabulary continuous speech recognition
In this work a number of novel techniques for improved treatment of spontaneous speech variabilities in large vocabulary automatic speech recognition are developed and evaluated on US English conversational speech and spontaneous medical dictations. Two main aspects of spontaneous speech modeling …
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Statistical computer-assisted translation
In recent years, significant improvements have been achieved in statistical machine translation (MT), but still even the best machine translation technology is far from replacing or even competing with human translators. However, an MT system helps to increase the productivity of human translators. …
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