2020 - IEEE Fellow For contributions to multilingual speech recognition and biosignal processing
Member of the European Academy of Sciences and Arts
Tanja Schultz mostly deals with Speech recognition, Artificial intelligence, Natural language processing, Word error rate and Speech processing. Her Speech recognition study frequently intersects with other fields, such as Vocabulary. Her studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.
She has researched Natural language processing in several fields, including Turkish, Adaptation and German. Her Word error rate research focuses on subjects like Discriminative model, which are linked to Cache language model and International Phonetic Alphabet. Her work carried out in the field of Speech processing brings together such families of science as Field, Speech production and Speech synthesis.
Tanja Schultz mainly focuses on Speech recognition, Artificial intelligence, Natural language processing, Word error rate and Speech processing. She combines topics linked to Vocabulary with her work on Speech recognition. Her work deals with themes such as Computer vision and Pattern recognition, which intersect with Artificial intelligence.
Her study in Natural language processing is interdisciplinary in nature, drawing from both Pronunciation, Word and German. Her study involves Voice activity detection and Silent speech interface, a branch of Speech processing. The study incorporates disciplines such as Set and Cache language model in addition to Language model.
The scientist’s investigation covers issues in Speech recognition, Human–computer interaction, Artificial intelligence, Dementia and Speech production. The various areas that she examines in her Speech recognition study include Artificial neural network, Brain–computer interface and Convolutional neural network. Her Human–computer interaction research integrates issues from Field, Biosignal, Task, Task analysis and Eye tracking.
Tanja Schultz focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Natural language processing and, in certain cases, Word. Her Dementia research includes elements of Feature extraction, Cognition and Gerontology. Her Speech synthesis study combines topics in areas such as Natural and Speech processing.
Tanja Schultz focuses on Speech recognition, Electroencephalography, Dementia, Speech production and Artificial intelligence. Her Speech recognition research incorporates themes from Feature extraction, Brain–computer interface and Convolutional neural network. Her Electroencephalography study integrates concerns from other disciplines, such as State, Selection and Computer vision.
Her Speech production research is multidisciplinary, incorporating perspectives in Biosignal, Human–computer interaction and Speech synthesis. Her Artificial intelligence research incorporates elements of Human memory and Natural language processing. Her Natural language processing research includes themes of Feature selection, Automatic speech processing, Predictive text and Dementia screening.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Language-independent and language-adaptive acoustic modeling for speech recognition
Tanja Schultz;Tanja Schultz;Alex Waibel;Alex Waibel.
Speech Communication (2001)
Silent speech interfaces
B. Denby;T. Schultz;K. Honda;T. Hueber.
Speech Communication (2010)
Automatic speech recognition for under-resourced languages: A survey
Laurent Besacier;Etienne Barnard;Alexey Karpov;Tanja Schultz.
Speech Communication (2014)
Mental workload during n-back task-quantified in the prefrontal cortex using fNIRS.
Christian Herff;Dominic Heger;Ole Fortmann;Johannes Hennrich.
Frontiers in Human Neuroscience (2014)
GlobalPhone: A Multilingual Speech and Text Database developed at Karlsruhe University
international conference on spoken language processing (2002)
Multilingual Speech Processing
Tanja Schultz;Katrin Kirchhoff.
Comparison of acoustic model adaptation techniques on non-native speech
Zhirong Wang;T. Schultz;A. Waibel.
international conference on acoustics, speech, and signal processing (2003)
Advances in automatic meeting record creation and access
A. Waibel;M. Bett;F. Metze;K. Ries.
international conference on acoustics, speech, and signal processing (2001)
Modeling coarticulation in EMG-based continuous speech recognition
Tanja Schultz;Michael Wand.
Speech Communication (2010)
Brain-to-text: Decoding spoken phrases from phone representations in the brain
Christian Herff;Dominic Heger;Adriana de Pesters;Adriana de Pesters;Dominic Telaar.
Frontiers in Neuroscience (2015)
Profile was last updated on December 6th, 2021.
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The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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