In this paper we take call routing further: Initial call classification is done in paral- lel with a robust statistical Spoken Language Understanding module. Minker Topic Switching Strategies for Spoken Dialogue Systems Proc. Minker Comparing Linear Feature Space Transformations for Correlated Features Springer, In: Perception in Multimodal Dialogue Systems, Series: Lecture Notes in Computer Science, Vol. Minker Recurrent Neural Network Interaction Quality Estimation Dialogues with Social Robots: Enablements, Analyses, and Evaluation, Springer Singapore, Singapore, pp. Our research has produced a detailed overview of vowel and consonant errors.
In a companion paper Carranza et al. In other words, a query … Cited by 1 Related articles All 5 versions A statistical approach for estimating user satisfaction in spoken human-machine interaction A Schmitt, B Schatz, W Minker — Applied Electrical Engineering …, 2011 — ieeexplore. Minker Compréhension automatique de la parole spontanée Édition L'Harmattan, Paris France , 1999 W. Paroubek Towards Best Practice in the Development and Evaluation of Speech Recognition Components of a Spoken Language Dialogue System Natural Language Engineering, Vol. As part of the manage- ment of these responses, a natural language understanding module 118 is used to understand the meaning of the received speech from the user 112.
Dynamic Mode of Speech Representation Journal of Siberian Federal University. Minker Evolutionary Design of Neural Networks for Forecasting of Financial Time Series Bulletin of Siberian State Aerospace University named after academician M. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Minker Hierarchical Neural Network Structures for Modeling Inter and Intra Phonetic Information for Phoneme Recognition Springer Verlag, Heidelberg Germany , 2013 T. Bühler Intelligent and Empathic Speech Interfaces Nova Science Publishers, Inc. Our proposed approaches address this separation problem using continuous, uninterrupted adaptive algorithms.
This chapter gives an overview of this database. Education 1986 Graduation from Humboldt Gymnasium Ulm, Germany. The resulting frequency ratios obtained for the most frequent errors and the most frequent contexts of appearance were statistically tested to determine their significance values. Minker Introducing Syntax Information in a Stochastically-Based Case Grammar Parser International Journal of Speech Technology, Vol. Adaptive beamforming is a classical approach which has been developed since the seventies.
Abdennadher Cross-Lingual Acoustic Modeling for Dialectal Arabic Speech Recognition International Conference on Speech and Language Processing Interspeech , Makuhari, Japan, September 2010 A. Minker Mobile Multimodality - Design and Development of the SmartKom Companion International Journal of Speech Technology, Vol. We report on the analyses of the combined annotations and draw up an inventory of errors that should be addressed in the training. Bühler Endowing Spoken Language Dialogue Systems with Emotional Intelligence Tutorial and Research Workshop Affective Dialogue Systems, Irsee Germany , pp. Néel Développement des technologies vocales Le Travail Humain, Vol. Minker Handling Emotions in Human-Computer Dialogues Springer, Dordrecht The Netherlands , 2010 P. Although automatic analysis and computer-aided annotation tools are being developed, spoken learner corpora are still smaller and less numerous than written learner corpora.
In the presented work, we investigate the speech signal capture problem, which includes the separation of multiple interfering speakers using microphone arrays. Dybkjær Introduction Springer, Dordrecht The Netherlands , In: Spoken Multimodal Human-Computer Dialogue in Mobile Environments, Series: Text, Speech and Language Technology, Vol. This allows the automatic generation of pronunciation variants, new L2 phoneme units, and statistical data about the most frequent mispronunciations by L2 learners. Zaykovskiy Interaction in intelligent environments Elsevier, In: Human-Centric Interfaces for Ambient Intelligence, Chapter 18, 2009 F. Minker Modeling A-Priori Likelihoods for Angry User Turns with Hidden Markov Models Proc.
The human users respond with their own voices, and their speech is then recognized and understood by a hu- man language understanding module. Minker Symbiotic Ecologies in Next Generation Ambient Intelligent Environments International Journal of Next-Generation Computing, Vol. Minker Emotion Recognition Based Preference Modelling in Argumentative Dialogue Systems Accepted for presentation at the 1st International Workshop on Pervasive Computing and Spoken Dialogue Systems Technology, 2019 2018 N. Zelezny Multimodal speech recognition: increasing accuracy using high speed video data Journal on Multimodal User Interfaces, Vol. Minker Robustness and Portability Issues in Multilingual Speech Processing Machine Translation, Vol. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. Minker Overview on Multi-Modal Spoken Dialogue Systems Evaluation Springer, Dordrecht The Netherlands , In: Spoken Multimodal Human-Computer Dialogue in Mobile Environments, Series: Text, Speech and Language Technology, Vol.
Nakamura Statistical Pronunciation Modeling for Non-Native Speech Processing Springer Verlag, Heidelberg Germany , 2011 2010 J. Minker The next step: intelligent digital assistance for clinical operating rooms Innovative Surgical Sciences, Vol. Minker Stochastic versus Rule-based Speech Understanding for Information Retrieval Speech Communication, Vol. The data was automatically recovered by Praat scripts and statistically analyzed with R. Minker A Semi-Supervised Cluster-and-Label Approach for Utterance Classification International Conference on Speech and Language Processing Interspeech , Makuhari, Japan.
Minker Challenges and Techniques for Dialectal Arabic Speech Recognition and Machine Translation Qatar Foundation Annual Research Forum, Doha, Qatar, November 2011 G. Ultes Acquisition and Assessment of Semantic Content for the Generation of Elaborateness and Indirectness in Spoken Dialogue Systems Proceedings of the Eighth International Joint Conference on Natural Language Processing Volume 1: Long Papers , Vol. Minker Interaction Quality: A Review Bulletin of Siberian State Aerospace University named after academician M. Modelling solution step discussions in tutorial dialogue Mark Buckley Dissertation zur Erlangung des akademischen Grades eines Doktors der Philosophie der Philosophischen Fakultäten der Universität des Saarlandes Juli 2010 Page 2. Minker A Reasoning Component for Information-Seeking and Planning Dialogues Springer, Dordrecht The Netherlands , In: Spoken Multimodal Human-Computer Dialogue in Mobile Environments, Series: Text, Speech and Language Technology, Vol. Minker The Impact of Explanation Dialogues on Human-Computer Trust Human-Computer Interaction. Minker Language Style Matching and Verbal Intelligence Bulletin of Siberian State Aerospace University named after academician M.