Speech and Computer, Alexey Karpov; Rodmonga Potapova; Iosif Mporas

Автор: Ronzhin
Название: Speech and Computer
ISBN: 331943957X ISBN-13(EAN): 9783319439570
Издательство: Springer
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Описание: This book constitutes the proceedings of the 18th International Conference on Speech and Computer, SPECOM 2016, held in Budapest, Hungary, in August 2016. The 85 papers presented in this volume were carefully reviewed and selected from 154 submissions.

Автор: Andrey Ronzhin; Rodmonga Potapova; Delic Vlado
Название: Speech and Computer
ISBN: 3319115804 ISBN-13(EAN): 9783319115801
Издательство: Springer
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Описание: 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).

Автор: Milo? ?elezn?; Iwan Habernal; Andrey Ronzhin
Название: Speech and Computer
ISBN: 3319019309 ISBN-13(EAN): 9783319019307
Издательство: Springer
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Описание: 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

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: J.-J. Ch. Meyer, W. van der Hoek
Название: Epistemic Logic for AI and Computer Science
ISBN: 0521602807 ISBN-13(EAN): 9780521602808
Издательство: Cambridge Academ
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Описание: This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included with their solutions.