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Computer Science - Artificial Intelligence | Speech and Computer - 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9,

Speech and Computer

16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014. Proceedings

Ronzhin, Andrey, Potapova, Rodmonga, Vlado, Delic (Eds.)

2014, XVI, 484 p. 151 illus.

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This book constitutes the refereed proceedings of the 16th International Conference on Speech and Computer, SPECOM 2014, held in Novi Sad, Serbia.
The 56 revised full papers presented  together with 3 invited talks were carefully reviewed and selected from 100 initial submissions. It is a conference with long tradition that attracts researchers in the area of computer speech processing (recognition, synthesis, understanding etc.) and related domains (including signal processing, language and text processing, multi-modal speech processing or human-computer interaction for instance).

Content Level » Research

Keywords » Web-based interaction - accessibility theory - artificial intelligence - augmented reality - cognitive science - collaborative interaction - concepts and paradigms - graphical user interfaces - hci theory - information retrieval - interaction techniques - interactive systems and tools - knowledge representation and reasoning - multimedia content creation - multimedia databases - natural language processing - query processing - speech recognition - user interface programming - user models

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Image Processing

Table of contents 

Invited Talks.- Creating Expressive TTS Voices for Conversation Agent Applications.- Gaps to Bridge in Speech Technology.- Instantaneous Harmonic Analysis: Techniques and Applications to Speech Signal Processing.- Conference Papers.- A Comparison of Two Prosody Modelling Approaches for Sesotho and Serbian.- A Dependency Treebank for Serbian: Initial Experiments.- A Framework for Recording Audio-Visual Speech Corpora with a Microphone and a High-Speed Camera.- A Neural Network Keyword Search System for Telephone Speech.- A Note on Feature Extraction Based on Kanade-Shi-Tomasi Procedure and Kalman Filters.- A Robust SVM/GMM Classifier for Speaker Verification.- A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition.- Algorithms for Acceleration of Image Processing at Automatic Registration of Meeting Participants.- Analysis and Synthesis of Glottalization Phenomena in German– Accented English.- Annotation and Personality: Individual Differences in Sentence Boundary Detection.- Associative Mechanism of Foreign Spoken Language Perception (Forensic Phonetic Aspect).- Automatic Alignment of Phonetic Transcriptions for Russian.- Automatic Post-Editing Method Using Translation Knowledge Based on Intuitive Common Parts Continuum for Statistical Machine Translation.- Automatic Stop List Generation for Clustering Recognition Results of Call Center Recordings.- Blur Estimation Methods for System of Audiovisual Monitoring of Meeting Participants.- Controlling the Uncertainty Area in the Real Time LVCSR Application.- Convolutional Neural Network for Refinement of Speaker Adaptation Transformation.- Corpus-Based Regiolect Studies: Kazan Region.- Crowdsourcing Interactive Technology for Natural-Technical Objects Integrated Monitoring.- Dramatic Piece Reader and it’s Evaluation by the Blind and Sighted Assessors.- Estimating Stochasticity of Acoustic Signals.- Exploiting Non-negative Matrix Factorization with Linear Constraints in Noise-Robust Speaker Identification.- Extraction of Features for Lip-reading Using Autoencoders.- F0 Declination Patterns in Russian.- Filled Pauses and Lengthenings Detection Based on the Acoustic Features for the Spontaneous Russian Speech.- First Experiments with Relevant Documents Selection for Blind Relevance Feedback in Spoken Document Retrieval.- How Speech Technologies Can Help People with Disabilities.- HTK-Based Recognition of Whispered Speech.- Human Resources Management in Conditions of Operators’ Psychophysiological State Changes.- Impact of Emotional Speech to Automatic Speaker Recognition - Experiments on GEES Speech Database.- Improving Speech Synthesis Quality for Voices Created from an Audiobook Database.- «INFANT.MAVS» - Multimedia Model for Infants Cognitive and Emotional Development Study.- Influence of Agent Behaviour on Human-Virtual Agent Body Interaction.- Modeling of Process Dynamics by Sequence of Homogenous Semantic Networks on the Base of Text Corpus Sequence Analysis.- New Method of Speech Signals Adaptive Features Construction Based on the Wavelet-like Transform and Support Vector Machines.- On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model.- On Principles of Annotated Databases of the Semantic Field “Aggression”.- On the Possibility of the Skype Channel Speaker Identification (on the Basis of Acoustic Parameters).- Parametric Representation of Kazakh Gestural Speech.- Personified Voice Interaction Software in Billing Systems.- Phrase-Final Lengthening in Russian: Pre-boundary or Pre-pausal?.- Proportional-Integral-Derivative Control of Automatic Speech Recognition Speed.- Quality Assessment of HMM-Based Speech Synthesis Using Acoustical Vowel Analysis.- Quality Improvements of Zero-Concatenation-Cost Chain Based Unit Selection.- Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features.- Semantic Entity Detection in the Spoken Air Traffic Control Data.- Simplified Simultaneous Perturbation Stochastic Approximation for the Optimization of Free Decoding Parameters.- Speaker Detection Using Phoneme Specific Hidden Markov Models.- Speaking Rate Estimation Based on Deep Neural Networks.- Speech Rhythmic Patterns of the Slavic Languages.- State Level Control for Acoustic Model Training.- Structural Model and Behavior Scenarios of Information Navigation Mobile Robot .- Study of Morphological Factors of Factored Language Models for Russian ASR.- The Use of Speech Technology in Computer Assisted Language Learning Systems.- Using Random Forests for Prosodic Break Prediction Based on Automatic Speech Labeling.- Vulnerability of Voice Verification Systems to Spoofing Attacks by TTS Voices Based on Automatically Labeled Telephone Speech.

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