2015 - IEEE Fellow For contributions to neural network based speech recognition and translation and multimodal interfaces
Alex Waibel mainly focuses on Speech recognition, Artificial intelligence, Natural language processing, Artificial neural network and Computer vision. His research on Speech recognition often connects related topics like Vocabulary. His Artificial intelligence research includes themes of Human–computer interaction and Pattern recognition.
Natural language processing is a component of his Machine translation, Rule-based machine translation, Speech translation, Natural language and Example-based machine translation studies. His study in the field of Time delay neural network, Connectionism and Phoneme recognition is also linked to topics like Structure. His Hidden Markov model study combines topics from a wide range of disciplines, such as Loudspeaker, Feature extraction and Markov process.
Alex Waibel mainly investigates Artificial intelligence, Speech recognition, Natural language processing, Machine translation and Artificial neural network. Alex Waibel regularly links together related areas like Pattern recognition in his Artificial intelligence studies. His Speech recognition research incorporates themes from Time delay neural network and Vocabulary.
His German research extends to Natural language processing, which is thematically connected. Alex Waibel interconnects Sentence and Task in the investigation of issues within Machine translation. While the research belongs to areas of Rule-based machine translation, Alex Waibel spends his time largely on the problem of Parsing, intersecting his research to questions surrounding Spoken language.
Alex Waibel mostly deals with Artificial intelligence, Speech recognition, Natural language processing, Machine translation and Artificial neural network. As a part of the same scientific study, Alex Waibel usually deals with the Artificial intelligence, concentrating on Pattern recognition and frequently concerns with Word error rate. His Speech recognition research integrates issues from Speech translation, End-to-end principle, Connectionism, Feature vector and Set.
His study in Natural language processing is interdisciplinary in nature, drawing from both Word and Task. Alex Waibel has included themes like Training set, Transformer, German, One-shot learning and Sentence in his Machine translation study. His Artificial neural network research is multidisciplinary, incorporating elements of Natural language understanding, Vocal tract, Speech production, Von Neumann architecture and Bottleneck.
His primary areas of investigation include Artificial intelligence, Speech recognition, Natural language processing, Speech translation and Translation. His research integrates issues of Repertoire and German in his study of Artificial intelligence. His studies deal with areas such as Artificial neural network, Recurrent neural network, Connectionism, End-to-end principle and Feature vector as well as Speech recognition.
Alex Waibel interconnects Segmentation, Punctuation and Hidden Markov model in the investigation of issues within Natural language processing. The concepts of his Speech translation study are interwoven with issues in Transcription, Word and Computer-assisted translation. His Translation research incorporates elements of Presentation, Multimedia, Sentence, Machine learning and Cross lingual.
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Phoneme recognition using time-delay neural networks
A. Waibel;T. Hanazawa;G. Hinton;K. Shikano.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)
A real-time face tracker
Jie Yang;A. Waibel.
workshop on applications of computer vision (1996)
A time-delay neural network architecture for isolated word recognition
Kevin J. Lang;Alex H. Waibel;Geoffrey E. Hinton.
Neural Networks (1990)
Recognizing emotion in speech
F. Dellaert;T. Polzin;A. Waibel.
international conference on spoken language processing (1996)
Skin-Color Modeling and Adaptation
Jie Yang;Weier Lu;Alex Waibel.
asian conference on computer vision (1998)
Modular construction of time-delay neural networks for speech recognition
Neural Computation (1989)
Language-independent and language-adaptive acoustic modeling for speech recognition
Tanja Schultz;Tanja Schultz;Alex Waibel;Alex Waibel.
Speech Communication (2001)
Readings in speech recognition
Alex Waibel;Kai-Fu Lee.
Automatic detection and recognition of signs from natural scenes
Xilin Chen;Jie Yang;Jing Zhang;A. Waibel.
IEEE Transactions on Image Processing (2004)
Smart Sight: a tourist assistant system
Jie Yang;Weiyi Yang;M. Denecke;A. Waibel.
international symposium on wearable computers (1999)
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