Katrin Kirchhoff mostly deals with Speech recognition, Artificial intelligence, Natural language processing, Language model and Speech processing. Her research in the fields of Acoustic model overlaps with other disciplines such as VOCAL PARAMETERS. The various areas that Katrin Kirchhoff examines in her Artificial intelligence study include Pronunciation and Ranking, Machine learning.
Her research in Natural language processing focuses on subjects like Arabic, which are connected to Trigram, Treebank, Context and Bigram. Her biological study spans a wide range of topics, including Natural language and Speech synthesis. Her research in Pattern recognition intersects with topics in Artificial neural network, Feature and Conversational speech.
Her scientific interests lie mostly in Artificial intelligence, Speech recognition, Natural language processing, Machine translation and Machine learning. As part of her studies on Artificial intelligence, she frequently links adjacent subjects like Pattern recognition. Katrin Kirchhoff interconnects Vocabulary and Robustness in the investigation of issues within Speech recognition.
Her research investigates the connection with Natural language processing and areas like Arabic which intersect with concerns in Transcription. The concepts of her Machine translation study are interwoven with issues in Translation and Phrase. Her study in the field of Semi-supervised learning and Selection is also linked to topics like Submodular set function.
Katrin Kirchhoff mainly investigates Speech recognition, Artificial intelligence, Language model, Encoder and Machine learning. Her study on Speech recognition is mostly dedicated to connecting different topics, such as Punctuation. Her research in Artificial intelligence is mostly focused on Preprocessor.
Much of her study explores Language model relationship to Fluency. Her Machine learning research is multidisciplinary, incorporating perspectives in Inverse, Representation and Inference. Her Utterance research includes elements of Conversation, Language recognition and Word error rate.
Katrin Kirchhoff focuses on Artificial intelligence, Speech recognition, Machine learning, Representation and Inference. Her Artificial intelligence study frequently intersects with other fields, such as Pattern recognition. Her study in Speech recognition is interdisciplinary in nature, drawing from both Variety and BLEU.
Her Machine learning research integrates issues from Class and Joint. Her Representation research is multidisciplinary, relying on both Task and Spoken language.
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Factored language models and generalized parallel backoff
Jeff A. Bilmes;Katrin Kirchhoff.
north american chapter of the association for computational linguistics (2003)
Robust speech recognition using articulatory information
Combining acoustic and articulatory feature information for robust speech recognition
Katrin Kirchhoff;Gernot A Fink;Gerhard Sagerer.
Speech Communication (2002)
Multilingual Speech Processing
Tanja Schultz;Katrin Kirchhoff.
Error-correction detection and response generation in a spoken dialogue system
Ivan Bulyko;Katrin Kirchhoff;Mari Ostendorf;J. Goldberg.
Speech Communication (2005)
Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop
K. Kirchhoff;J. Bilmes;S. Das;N. Duta.
international conference on acoustics, speech, and signal processing (2003)
Morphology-Based Language Modeling for Arabic Speech Recognition
Dimitra Vergyri;Katrin Kirchhoff;Kevin Duh;Andreas Stolcke.
conference of the international speech communication association (2004)
Automatic diacritization of Arabic for acoustic modeling in speech recognition
Dimitra Vergyri;Katrin Kirchhoff.
Semitic '04 Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages (2004)
Morphology-based language modeling for conversational Arabic speech recognition
Katrin Kirchhoff;Dimitra Vergyri;Jeff A. Bilmes;Kevin Duh.
Computer Speech & Language (2006)
Landmark-based speech recognition: report of the 2004 Johns Hopkins summer workshop
M. Hasegawa-Johnson;J. Baker;S. Borys;K. Chen.
international conference on acoustics, speech, and signal processing (2005)
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