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Speech and Computer

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Table of Contents

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    Book Overview
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    Chapter 1 Automatic Speech Recognition Based on Neural Networks
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    Chapter 2 Machine Processing of Dialogue States; Speculations on Conversational Entropy
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    Chapter 3 Speech Recognition Challenges in the Car Navigation Industry
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    Chapter 4 A Comparison of Acoustic Features of Speech of Typically Developing Children and Children with Autism Spectrum Disorders
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    Chapter 5 A Deep Neural Networks (DNN) Based Models for a Computer Aided Pronunciation Learning System
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    Chapter 6 A Linguistic Interpretation of the Atom Decomposition of Fundamental Frequency Contour for American English
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    Chapter 7 A Phonetic Segmentation Procedure Based on Hidden Markov Models
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    Chapter 8 A Preliminary Exploration of Group Social Engagement Level Recognition in Multiparty Casual Conversation
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    Chapter 9 An Agonist-Antagonist Pitch Production Model
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    Chapter 10 An Algorithm for Phase Manipulation in a Speech Signal
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    Chapter 11 An Exploratory Study on Sociolinguistic Variation of Russian Everyday Speech
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    Chapter 12 Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training
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    Chapter 13 Advances in STC Russian Spontaneous Speech Recognition System
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    Chapter 14 Approaches for Out-of-Domain Adaptation to Improve Speaker Recognition Performance
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    Chapter 15 Assessment of the Relation Between Low-Frequency Features and Velum Opening by Using Real Articulatory Data
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    Chapter 16 Automatic Summarization of Highly Spontaneous Speech
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    Chapter 17 Backchanneling via Twitter Data for Conversational Dialogue Systems
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    Chapter 18 Bio-Inspired Sparse Representation of Speech and Audio Using Psychoacoustic Adaptive Matching Pursuit
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    Chapter 19 Combining Atom Decomposition of the F0 Track and HMM-based Phonological Phrase Modelling for Robust Stress Detection in Speech
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    Chapter 20 Comparative Analysis of Classifiers for Automatic Language Recognition in Spontaneous Speech
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    Chapter 21 Comparison of Retrieval Approaches and Blind Relevance Feedback Methods Within the Czech Speech Information Retrieval
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    Chapter 22 Convolutional Neural Network in the Task of Speaker Change Detection
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    Chapter 23 Design of a Speech Corpus for Research on Cross-Lingual Prosody Transfer
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    Chapter 24 Designing High-Coverage Multi-level Text Corpus for Non-professional-voice Conservation
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    Chapter 25 Designing Syllable Models for an HMM Based Speech Recognition System
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    Chapter 26 Detecting Filled Pauses and Lengthenings in Russian Spontaneous Speech Using SVM
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    Chapter 27 Detecting Laughter and Filler Events by Time Series Smoothing with Genetic Algorithms
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    Chapter 28 Detecting State of Aggression in Sentences Using CNN
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    Chapter 29 DNN-Based Acoustic Modeling for Russian Speech Recognition Using Kaldi
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    Chapter 30 DNN-Based Duration Modeling for Synthesizing Short Sentences
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    Chapter 31 Emotional Speech of 3-Years Old Children: Norm-Risk-Deprivation
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    Chapter 32 Ensemble Deep Neural Network Based Waveform-Driven Stress Model for Speech Synthesis
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    Chapter 33 Evaluation of Response Times on a Touch Screen Using Stereo Panned Speech Command Auditory Feedback
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    Chapter 34 Evaluation of the Speech Quality During Rehabilitation After Surgical Treatment of the Cancer of Oral Cavity and Oropharynx Based on a Comparison of the Fourier Spectra
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    Chapter 35 Experiments with One–Class Classifier as a Predictor of Spectral Discontinuities in Unit Concatenation
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    Chapter 36 Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models
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    Chapter 37 Feature Space VTS with Phase Term Modeling
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    Chapter 38 Finding Speaker Position Under Difficult Acoustic Conditions
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    Chapter 39 Fusing Various Audio Feature Sets for Detection of Parkinson’s Disease from Sustained Voice and Speech Recordings
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    Chapter 40 HAVRUS Corpus: High-Speed Recordings of Audio-Visual Russian Speech
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    Chapter 41 Human-Smartphone Interaction for Dangerous Situation Detection and Recommendation Generation While Driving
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    Chapter 42 Improving Automatic Speech Recognition Containing Additive Noise Using Deep Denoising Autoencoders of LSTM Networks
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    Chapter 43 Improving the Quality of Automatic Speech Recognition in Trucks
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    Chapter 44 Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation
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    Chapter 45 Improving Robustness of Speaker Verification by Fusion of Prompted Text-Dependent and Text-Independent Operation Modalities
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    Chapter 46 Improvements to Prosodic Variation in Long Short-Term Memory Based Intonation Models Using Random Forest
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    Chapter 47 In-Document Adaptation for a Human Guided Automatic Transcription Service
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    Chapter 48 Interaction Quality as a Human-Human Task-Oriented Conversation Performance
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    Chapter 49 Investigation of Segmentation in i-Vector Based Speaker Diarization of Telephone Speech
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    Chapter 50 Investigation of Speech Signal Parameters Reflecting the Truth of Transmitted Information
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    Chapter 51 Investigating Signal Correlation as Continuity Metric in a Syllable Based Unit Selection Synthesis System
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    Chapter 52 Knowledge Transfer for Utterance Classification in Low-Resource Languages
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    Chapter 53 Language Identification Using Time Delay Neural Network D-Vector on Short Utterances
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    Chapter 54 Lexical Stress in Punjabi and Its Representation in PLS
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    Chapter 55 Low Inter-Annotator Agreement in Sentence Boundary Detection and Annotator Personality
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    Chapter 56 LSTM-Based Language Models for Spontaneous Speech Recognition
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    Chapter 57 Measuring Prosodic Entrainment in Italian Collaborative Game-Based Dialogues
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    Chapter 58 Microphone Array Directivity Improvement in Low-Frequency Band for Speech Processing
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    Chapter 59 Modeling Imperative Utterances in Russian Spoken Dialogue: Verb-Central Quantitative Approach
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    Chapter 60 Multimodal Perception of Aggressive Behavior
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    Chapter 61 On Individual Polyinformativity of Speech and Voice Regarding Speakers Auditive Attribution (Forensic Phonetic Aspect)
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    Chapter 62 Online Biometric Identification with Face Analysis in Web Applications
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    Chapter 63 Optimization of Zelinski Post-filtering Calculation
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    Chapter 64 Phonetic Aspects of High Level of Naturalness in Speech Synthesis
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    Chapter 65 Polybasic Attribution of Social Network Discourse
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    Chapter 66 Precise Estimation of Harmonic Parameter Trend and Modification of a Speech Signal
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    Chapter 67 Profiling a Set of Personality Traits of a Text’s Author: A Corpus-Based Approach
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    Chapter 68 Prosody Analysis of Malay Language Storytelling Corpus
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    Chapter 69 Quality Assessment of Two Fullband Audio Codecs Supporting Real-Time Communication
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    Chapter 70 Robust Speech Analysis Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition in Noisy Environments
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    Chapter 71 Scenarios of Multimodal Information Navigation Services for Users in Cyberphysical Environment
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    Chapter 72 Scores Calibration in Speaker Recognition Systems
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    Chapter 73 Selecting Keypoint Detector and Descriptor Combination for Augmented Reality Application
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    Chapter 74 Semi-automatic Speaker Verification System Based on Analysis of Formant, Durational and Pitch Characteristics
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    Chapter 75 Speaker-Dependent Bottleneck Features for Egyptian Arabic Speech Recognition
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    Chapter 76 Speech Acts Annotation of Everyday Conversations in the ORD Сorpus of Spoken Russian
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    Chapter 77 Speech Enhancement with Microphone Array Using a Multi Beam Adaptive Noise Suppressor
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    Chapter 78 Speech Features Evaluation for Small Set Automatic Speaker Verification Using GMM-UBM System
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    Chapter 79 Speech Recognition Combining MFCCs and Image Features
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    Chapter 80 Sociolinguistic Extension of the ORD Corpus of Russian Everyday Speech
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    Chapter 81 Statistical Analysis of Acoustical Parameters in the Voice of Children with Juvenile Dysphonia
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    Chapter 82 Stress, Arousal, and Stress Detector Trained on Acted Speech Database
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    Chapter 83 Study on the Improvement of Intelligibility for Elderly Speech Using Formant Frequency Shift Method
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    Chapter 84 Text Classification in the Domain of Applied Linguistics as Part of a Pre-editing Module for Machine Translation Systems
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    Chapter 85 Tonal Specification of Perceptually Prominent Non-nuclear Pitch Accents in Russian
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    Chapter 86 Toward Sign Language Motion Capture Dataset Building
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    Chapter 87 Trade-Off Between Speed and Accuracy for Noise Variance Minimization (NVM) Pitch Estimation Algorithm
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    Chapter 88 Unsupervised Trained Functional Discourse Parser for e-Learning Materials Scaffolding
Overall attention for this book and its chapters
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Title
Speech and Computer
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-43958-7
ISBNs
978-3-31-943957-0, 978-3-31-943958-7
Editors

Andrey Ronzhin, Rodmonga Potapova, Géza Németh

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Professor 1 9%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 4 36%
Physics and Astronomy 1 9%
Neuroscience 1 9%
Unknown 5 45%