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Speech and Computer

Overview of attention for book
Cover of 'Speech and Computer'

Table of Contents

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    Book Overview
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    Chapter 1 Creating Expressive TTS Voices for Conversation Agent Applications
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    Chapter 2 Gaps to Bridge in Speech Technology
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    Chapter 3 Instantaneous Harmonic Analysis: Techniques and Applications to Speech Signal Processing
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    Chapter 4 A Comparison of Two Prosody Modelling Approaches for Sesotho and Serbian
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    Chapter 5 A Dependency Treebank for Serbian: Initial Experiments
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    Chapter 6 A Framework for Recording Audio-Visual Speech Corpora with a Microphone and a High-Speed Camera
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    Chapter 7 A Neural Network Keyword Search System for Telephone Speech
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    Chapter 8 A Note on Feature Extraction Based on Kanade-Shi-Tomasi Procedure and Kalman Filters
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    Chapter 9 A Robust SVM/GMM Classifier for Speaker Verification
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    Chapter 10 A Sequence Training Method for Deep Rectifier Neural Networks in Speech Recognition
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    Chapter 11 Algorithms for Acceleration of Image Processing at Automatic Registration of Meeting Participants
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    Chapter 12 Analysis and Synthesis of Glottalization Phenomena in German-Accented English
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    Chapter 13 Annotation and Personality: Individual Differences in Sentence Boundary Detection
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    Chapter 14 Associative Mechanism of Foreign Spoken Language Perception (Forensic Phonetic Aspect)
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    Chapter 15 Automatic Alignment of Phonetic Transcriptions for Russian
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    Chapter 16 Automatic Post-Editing Method Using Translation Knowledge Based on Intuitive Common Parts Continuum for Statistical Machine Translation
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    Chapter 17 Automatic Stop List Generation for Clustering Recognition Results of Call Center Recordings
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    Chapter 18 Blur Estimation Methods for System of Audiovisual Monitoring of Meeting Participants
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    Chapter 19 Controlling the Uncertainty Area in the Real Time LVCSR Application
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    Chapter 20 Convolutional Neural Network for Refinement of Speaker Adaptation Transformation
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    Chapter 21 Corpus-Based Regiolect Studies: Kazan Region
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    Chapter 22 Crowdsourcing Interactive Technology for Natural-Technical Objects Integrated Monitoring
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    Chapter 23 Dramatic Piece Reader and It’s Evaluation by the Blind and Sighted Assessors
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    Chapter 24 Estimating Stochasticity of Acoustic Signals
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    Chapter 25 Exploiting Non-negative Matrix Factorization with Linear Constraints in Noise-Robust Speaker Identification
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    Chapter 26 Extraction of Features for Lip-reading Using Autoencoders
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    Chapter 27 F0 Declination Patterns in Russian
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    Chapter 28 Filled Pauses and Lengthenings Detection Based on the Acoustic Features for the Spontaneous Russian Speech
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    Chapter 29 First Experiments with Relevant Documents Selection for Blind Relevance Feedback in Spoken Document Retrieval
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    Chapter 30 How Speech Technologies Can Help People with Disabilities
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    Chapter 31 HTK-Based Recognition of Whispered Speech
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    Chapter 32 Human Resources Management in Conditions of Operators’ Psychophysiological State Changes
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    Chapter 33 Impact of Emotional Speech to Automatic Speaker Recognition - Experiments on GEES Speech Database
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    Chapter 34 Improving Speech Synthesis Quality for Voices Created from an Audiobook Database
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    Chapter 35 «INFANT.MAVS» - Multimedia Model for Infants Cognitive and Emotional Development Study
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    Chapter 36 Influence of Agent Behaviour on Human-Virtual Agent Body Interaction
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    Chapter 37 Modeling of Process Dynamics by Sequence of Homogenous Semantic Networks on the Base of Text Corpus Sequence Analysis
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    Chapter 38 New Method of Speech Signals Adaptive Features Construction Based on the Wavelet-like Transform and Support Vector Machines
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    Chapter 39 On a Hybrid NN/HMM Speech Recognition System with a RNN-Based Language Model
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    Chapter 40 On Principles of Annotated Databases of the Semantic Field “Aggression”
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    Chapter 41 On the Possibility of the Skype Channel Speaker Identification (on the Basis of Acoustic Parameters)
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    Chapter 42 Parametrc Representation of Kazakh Gestural Speech
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    Chapter 43 Personified Voice Interaction Software in Billing Systems
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    Chapter 44 Phrase-Final Lengthening in Russian: Pre-boundary or Pre-pausal?
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    Chapter 45 Proportional-Integral-Derivative Control of Automatic Speech Recognition Speed
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    Chapter 46 Quality Assessment of HMM-Based Speech Synthesis Using Acoustical Vowel Analysis
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    Chapter 47 Quality Improvements of Zero-Concatenation-Cost Chain Based Unit Selection
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    Chapter 48 Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features
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    Chapter 49 Semantic Entity Detection in the Spoken Air Traffic Control Data
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    Chapter 50 Simplified Simultaneous Perturbation Stochastic Approximation for the Optimization of Free Decoding Parameters
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    Chapter 51 Speaker Detection Using Phoneme Specific Hidden Markov Models
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    Chapter 52 Speaking Rate Estimation Based on Deep Neural Networks
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    Chapter 53 Speech Rhythmic Patterns of the Slavic Languages
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    Chapter 54 State Level Control for Acoustic Model Training
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    Chapter 55 Structural Model and Behavior Scenarios of Information Navigation Mobile Robot
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    Chapter 56 Study of Morphological Factors of Factored Language Models for Russian ASR
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    Chapter 57 The Use of Speech Technology in Computer Assisted Language Learning Systems
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    Chapter 58 Using Random Forests for Prosodic Break Prediction Based on Automatic Speech Labeling
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    Chapter 59 Vulnerability of Voice Verification Systems to Spoofing Attacks by TTS Voices Based on Automatically Labeled Telephone Speech
Overall attention for this book and its chapters
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Mentioned by

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Readers on

mendeley
17 Mendeley
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Title
Speech and Computer
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-11581-8
ISBNs
978-3-31-911580-1, 978-3-31-911581-8
Editors

Andrey Ronzhin, Rodmonga Potapova, Vlado Delic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Bachelor 3 18%
Student > Ph. D. Student 3 18%
Researcher 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 4 24%
Economics, Econometrics and Finance 2 12%
Engineering 2 12%
Medicine and Dentistry 1 6%
Linguistics 1 6%
Other 0 0%
Unknown 7 41%