M. Sc. Oleg Akhtiamov

O. Akhtiamov, I. Siegert, A. Karpov and W. Minker
Using Complexity-Identical Human-and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems
Sensors, Vol. 20, Num. 9, pp. 2740, May 2020
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O. Akhtiamov, D. Fedotov and W. Minker
A Comparative Study of Classical and Deep Classifiers for Textual Addressee Detection in Human-Human-Machine Conversations
International Conference on Speech and Computer (SPECOM), Springer, pp. 20-30, 2019
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O. Akhtiamov, I. Siegert, A. Karpov and W. Minker
Cross-Corpus Data Augmentation for Acoustic Addressee Detection
20th Annual SIGdial Meeting on Discourse and Dialogue, ACL, Stockholm, Sweden, pp. 274–283, 2019
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O. Akhtiamov and V. Palkov
Gaze, Prosody and Semantics. Relevance of Various Multimodal Signals to Addressee Detection in Human-Human-Computer Conversations
20th International Conference on Speech and Computer (SPECOM 2018), Springer, Leipzig, Germany, 2018
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O. Akhtiamov, D. Ubskii, E. Feldina, A. Pugachev, A. Karpov and W. Minker
Are You Addressing Me? Multimodal Addressee Detection in Human-Human-Computer Conversations
19th International Conference on Speech and Computer (SPECOM 2017), Springer, Hatfield, UK, 2017
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A. Pugachev, O. Akhtiamov, A. Karpov and W. Minker
Deep Learning for Acoustic Addressee Detection in Spoken Dialogue Systems
Conference on Artificial Intelligence and Natural Language (AINL 2017), Springer, Saint Petersburg, Russia, 2017
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O. Akhtiamov, M. Sidorov, A. Karpov and W. Minker
Speech and Text Analysis for Multimodal Addressee Detection in Human-Human-Computer Interaction
Annual Conference of the International Speech Communication Association (INTERSPEECH 2017), Stockholm, Sweden, 2017
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O. Akhtiamov, R. Sergienko and W. Minker
An Approach to off-Talk Detection based on Text Classification within an Automatic Spoken Dialogue System
13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), Lisbon, Portugal, Vol. 2, pp. 288-293, July 2016
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R. Sergienko, O. Akhtiamov, E. Semenkin and A. Schmitt
A novel approach to neural network design for natural language call routing
12th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2015), Colmar, France, Vol. 01, pp. 102 - 109, July 2015
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Master Thesis
Contextual Addressee Selection and Response Prediction in Multi-Party Conversations for Spoken Dialogue Systems (Euler Program)
2019

Master Thesis
Cross-Corpus Data Augmentation for Acoustic Addressee Detection (Euler Program)
2019

Master Thesis
Deep Learning for Text-Based Addressee Detection (Euler Program)
2018

Master Thesis
Gaze Direction Monitoring for Video-Based Addressee Detection (Euler Program)
2018

Master Thesis
Deep Neural Network Applications for Acoustic Off-Talk Detection within an Automatic Spoken Dialogue System (Euler Program)
2017

Master Thesis
N-Gram-Based Approaches to Text Processing for Off-Talk Detection in Automatic Spoken Dialogue Systems (Euler Program)
2017

Bachelor Thesis
Implementation and Testing of Feature Selection Methods for Off-Talk Detection Based on Text Classification
2016
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Bachelor Thesis
Implementation and Testing of Feature Transformation Methods for Off-Talk Detection Based on Text Classification
2016
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Bachelor Thesis
Implementation and Testing of the Rocchio Algorithm for Off-Talk Detection Based on Text Classification
2016
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