Speech and Computer, Andrey Ronzhin; Rodmonga Potapova; Nikos Fakotakis
Автор: Alexander Rudnicky; Antoine Raux; Ian Lane; Teruhi Название: Situated Dialog in Speech-Based Human-Computer Interaction ISBN: 3319218336 ISBN-13(EAN): 9783319218335 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Evaluation of Statistical POMDP-based Dialogue Systems in Noisy Environments.- Syntactic Filtering and Content-based Retrieval of Twitter Sentences for the Generation of System Utterances in Dialogue Systems.- Integrated Interpretation and Generation of Task-Oriented Dialog.- Justification and Transparency Explanations in Dialogue Systems to Maintain Human-Computer Trust.- Dialogue Management for User-centered Adaptive Dialogue.- Chat-like Conversational System based on Selection of Reply Generating Module with Reinforcement Learning.- Investigating Critical Speech Recognition Errors in Spoken Short Messages.- 8. The HRI-CMU Corpus of Situated In-Car Interactions.- Detecting 'Request Alternatives' User Dialog Acts from Dialog Context.- Emotion and Its Triggers in Human Spoken Dialogue: Recognition and Analysis.- Evaluation of In-Car SDS Notification Concepts for Incoming Proactive Events.- Construction and Analysis of a Persuasive Dialogue Corpus.- Evaluating Model that Predicts When People will Speak to a Humanoid Robot and Handling Variations of Individuals and Instructions.- Entrainment in Pedestrian Direction Giving: How many kinds of entrainment?.-Situated Interaction in a Multilingual Spoken Information Access Framework.- WFSTDM Builder - Network-based Spoken Dialogue System Builder for Easy Prototyping.- A demonstration of a natural-language pedestrian routing system.- Web-based Multimodal Multi-domain Spoken Dialogue System.- A Framework for Domain-specific Multi-modal Dialog System Creation.- A Trialogue-Based Spoken Dialogue System for Assessment of English Language Learners.- A Turbo-Decoding Weighted Forward-Backward Algorithm for Multimodal Speech Recognition.- Engine-independent ASR Error Management for Dialog Systems.- Restoring Incorrectly Segmented Keywords and Turn-Taking Caused by Short Pauses.- Investigating Critical Speech Recognition Errors in Spoken Short Messages.- A semi-automated evaluation metric for dialogue model coherence.
Автор: Milo? ?elezn?; Iwan Habernal; Andrey Ronzhin Название: Speech and Computer ISBN: 3319019309 ISBN-13(EAN): 9783319019307 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Johannes Pittermann; Angela Pittermann; Wolfgang M Название: Handling Emotions in Human-Computer Dialogues ISBN: 9048131286 ISBN-13(EAN): 9789048131280 Издательство: Springer Рейтинг: Цена: 16464.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents novel methods to perform robust speech-based emotion recognition at low complexity. It describes a flexible dialogue model to conveniently integrate emotions and other dialogue-influencing parameters in human-computer interaction.
Автор: Esposito Anna Название: Recent Advances in Nonlinear Speech Processing ISBN: 3319281070 ISBN-13(EAN): 9783319281070 Издательство: Springer Рейтинг: Цена: 17097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent advances in nonlinearspeech processing beyond nonlinear techniques. It shows that it exploitsheuristic and psychological models of human interaction in order to succeed inthe implementations of socially believable VUIs and applications for humanhealth and psychological support. The book takes into account themultifunctional role of speech and what is "outside of the box" (see BjoernSchuller's foreword).
To this aim, the book is organized in 6 sections, eachcollecting a small number of short chapters reporting advances "inside" and"outside" themes related to nonlinear speech research. The themes emphasizetheoretical and practical issues for modelling socially believable speechinterfaces, ranging from efforts to capture the nature of sound changes inlinguistic contexts and the timing nature of speech; labors to identify anddetect speech features that help in the diagnosis of psychological and neuronaldisease, attempts to improve the effectiveness and performance of Voice UserInterfaces, new front-end algorithms for the coding/decoding of effective andcomputationally efficient acoustic and linguistic speech representations, aswell as investigations capturing the social nature of speech in signalingpersonality traits, emotions and improving human machine interactions.
Описание: The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks.
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