Speech and computer : 15th International Conference,Specom 2013, September 1-5, 2013, Pilsen, Czech Republic, Proceedings / [edited by] Milos Zelezny, Ivan Habernal, Andrey Ronzhin.

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Conference Papers.- Automatic Detection of the Prosodic Structures of Speech Utterances.- A Method for Auditory Evaluation of Synthesized Speech Intonation.- Acoustic Modeling with Deep Belief Networks for Russian Speech Recognition.- An Analysis of Speech Signals of the Choapam Variant Zapotec Language.- Analysis of Expert Manual Annotation of the Russian Spontaneous Monologue: Evidence from Sentence Boundary Detection.- Application of l1 Estimation of Gaussian Mixture Model Parameters for Language Identification.- Application of Automatic Fragmentation for the Semantic Comparison of Texts.- Auditory and Spectrographic Analysis of the Words of 2-8 Years-Old Russian Children.- Auditory and Visual Recognition of Emotional Behaviour of Foreign Language Subjects (by Native and Non-native Speakers.- Automatic Detection of Speech Disfluencies in the Spontaneous Russian Speech.- Automatic Morphological Annotation in a Text-to-Speech System for Hebrew.- Comparative Study of English, Dutch and German Prosodic Features (Fundamental Frequency and Intensity) as Means of Speech.- Covariance Matrix Enhancement Approach to Train Robust Gaussian Mixture Models of Speech Data.- Dealing with Diverse Data Variances in Factor Analysis Based Methods.- Detection of the Frequency Characteristics of the Articulation System with the Use of Voice Source Signal Recording Method.- Encoding of Spatial Perspectives in Human-Machine Interaction.- Evaluation of Advanced Language Modeling Techniques for Russian LVCSR.- Examining Vulnerability of Voice Verification Systems to Spoofing Attacks by Means of a TTS System.- Exploiting Multiple ASR Outputs for a Spoken Language Understanding Task.- Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data.- GMM Based Language Identification System Using Robust Features.- Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices.- Improvements in Czech Expressive Speech Synthesis in Limited Domain.- Improving Prosodic Break Detection in a Russian TTS System.- Investigation of Forensically Significant Changes of Acoustic Features with Regard to Code-Switching (on the Basis of Russian and German).- LIMA: A Spoken Language Identification Framework.- Language Identification System for the Tatar Language.- Language Model Comparison for Ukrainian Real-Time Speech Recognition System.- Lexicon Size and Language Model Order Optimization for Russian LVCSR.- Lingua-cognitive Survey of the Semantic Field "Aggression" in Multicultural Communication: Typed Text.- Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing.- Noise and Channel Normalized Cepstral Features for Far-speech Recognition.- Parametric Speech Synthesis and User Interface for Speech Modification.- Phrase-Final Segment Lengthening in Russian: Preliminary Results of a Corpus-Based Study.- Pseudo Real-Time Spoken Term Detection Using Pre-retrieval Results.- Results for Variable Speaker and Recording Conditions on Spoken IR in Finnish.- SVID Speaker Recognition System for NIST SRE 2012.- Segmentation of Telephone Speech Based on Speech and Non-speech Models.- Software for Assessing Voice Quality in Rehabilitation of Patients after Surgical Treatment of Cancer of Oral Cavity, Oropharynx and Upper Jaw.- Speaker Turn Detection Based on Multimodal Situation Analysis.- Speech and Crosstalk Detection for Robust Speech Recognition Using a Dual Microphone System.- Speech and Language Resources within Speech Recognition and Synthesis Systems for Serbian and Kindred South Slavic Languages.- Statistical Language Aspects of Intonation and Gender Features Based on the Lithuanian Language.- Text Understanding as Interpretation of Predicative Structure Strings of Main Text's Sentences as Result of Pragmatic Analysis (Combination of Linguistic and Statistic Approaches).- The Diarization System for an Unknown Number of Speakers.- The Problem of Voice Template Aging in Speaker Recognition Systems.- The Use of Several Language Models and Its Impact on Word Insertion Penalty in LVCSR.- The Use of d-gram Language Models for Speech Recognition in Russian.