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Speech and Computer

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Cover of 'Speech and Computer'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Low-Resource Speech Recognition and Keyword-Spotting
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    Chapter 2 Big Data, Deep Learning – At the Edge of X-Ray Speaker Analysis
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    Chapter 3 A Comparison of Covariance Matrix and i-vector Based Speaker Recognition
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    Chapter 4 A Trainable Method for the Phonetic Similarity Search in German Proper Names
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    Chapter 5 Acoustic and Perceptual Correlates of Vowel Articulation in Parkinson’s Disease With and Without Mild Cognitive Impairment: A Pilot Study
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    Chapter 6 Acoustic Cues for the Perceptual Assessment of Surround Sound
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    Chapter 7 Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation
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    Chapter 8 Adaptation Approaches for Pronunciation Scoring with Sparse Training Data
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    Chapter 9 An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition
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    Chapter 10 An Alternative Approach to Exploring a Video
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    Chapter 11 An Analysis of the RNN-Based Spoken Term Detection Training
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    Chapter 12 Analysis of Interaction Parameter Levels in Interaction Quality Modelling for Human-Human Conversation
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    Chapter 13 Annotation Error Detection: Anomaly Detection vs. Classification
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    Chapter 14 Are You Addressing Me? Multimodal Addressee Detection in Human-Human-Computer Conversations
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    Chapter 15 Assessing Spoken Dialog Services from the End-User Perspective: Usability and Experience
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    Chapter 16 Audio-Replay Attack Detection Countermeasures
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    Chapter 17 Automatic Estimation of Presentation Skills Using Speech, Slides and Gestures
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    Chapter 18 Automatic Phonetic Transcription for Russian: Speech Variability Modeling
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    Chapter 19 Automatic Smoker Detection from Telephone Speech Signals
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    Chapter 20 Bimodal Anti-Spoofing System for Mobile Security
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    Chapter 21 Canadian English Word Stress: A Corpora-Based Study of National Identity in a Multilingual Community
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    Chapter 22 Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks
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    Chapter 23 Clustering Target Speaker on a Set of Telephone Dialogs
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    Chapter 24 Cognitive Entropy in the Perceptual-Auditory Evaluation of Emotional Modal States of Foreign Language Communication Partner
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    Chapter 25 Correlation Normalization of Syllables and Comparative Evaluation of Pronunciation Quality in Speech Rehabilitation
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    Chapter 26 CRF-Based Phrase Boundary Detection Trained on Large-Scale TTS Speech Corpora
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    Chapter 27 Deep Recurrent Neural Networks in Speech Synthesis Using a Continuous Vocoder
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    Chapter 28 Design of Online Echo Canceller in Duplex Mode
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    Chapter 29 Detection of Stance and Sentiment Modifiers in Political Blogs
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    Chapter 30 Digits to Words Converter for Slavic Languages in Systems of Automatic Speech Recognition
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    Chapter 31 Discriminating Speakers by Their Voices — A Fusion Based Approach
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    Chapter 32 Emotional Poetry Generation
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    Chapter 33 End-to-End Large Vocabulary Speech Recognition for the Serbian Language
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    Chapter 34 Examining the Impact of Feature Selection on Sentiment Analysis for the Greek Language
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    Chapter 35 Experimenting with Hybrid TDNN/HMM Acoustic Models for Russian Speech Recognition
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    Chapter 36 Exploring Multiparty Casual Talk for Social Human-Machine Dialogue
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    Chapter 37 First Experiments to Detect Anomaly Using Personality Traits vs. Prosodic Features
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    Chapter 38 Fusion of a Novel Volterra-Wiener Filter Based Nonlinear Residual Phase and MFCC for Speaker Verification
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    Chapter 39 Hesitations in Spontaneous Speech: Acoustic Analysis and Detection
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    Chapter 40 Human as Acmeologic Entity in Social Network Discourse (Multidimensional Approach)
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    Chapter 41 Improved Speaker Adaptation by Combining I-vector and fMLLR with Deep Bottleneck Networks
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    Chapter 42 Improving of LVCSR for Causal Czech Using Publicly Available Language Resources
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    Chapter 43 Improving Performance of Speaker Identification Systems Using Score Level Fusion of Two Modes of Operation
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    Chapter 44 Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis
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    Chapter 45 In Search of Sentence Boundaries in Spontaneous Speech
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    Chapter 46 Investigating Acoustic Correlates of Broad and Narrow Focus Perception by Japanese Learners of English
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    Chapter 47 Language Adaptive Multilingual CTC Speech Recognition
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    Chapter 48 Language Model Optimization for a Deep Neural Network Based Speech Recognition System for Serbian
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    Chapter 49 Lexico-Semantical Indices of “Deprivation – Aggression” Modality Correlation in Social Network Discourse
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    Chapter 50 Linguistic Features and Sociolinguistic Variability in Everyday Spoken Russian
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    Chapter 51 Medical Speech Recognition: Reaching Parity with Humans
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    Chapter 52 Microphone Array Post-filter in Frequency Domain for Speech Recognition Using Short-Time Log-Spectral Amplitude Estimator and Spectral Harmonic/Noise Classifier
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    Chapter 53 Multimodal Keyword Search for Multilingual and Mixlingual Speech Corpus
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    Chapter 54 Neural Network Doc2vec in Automated Sentiment Analysis for Short Informal Texts
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    Chapter 55 Neural Network Speaker Descriptor in Speaker Diarization of Telephone Speech
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    Chapter 56 Novel Linear Prediction Temporal Phase Based Features for Speaker Recognition
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    Chapter 57 Novel Phase Encoded Mel Cepstral Features for Speaker Verification
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    Chapter 58 On a Way to the Computer Aided Speech Intonation Training
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    Chapter 59 On Residual CNN in Text-Dependent Speaker Verification Task
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    Chapter 60 Perception and Acoustic Features of Speech of Children with Autism Spectrum Disorders
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    Chapter 61 Phase Analysis and Labeling Strategies in a CNN-Based Speaker Change Detection System
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    Chapter 62 Preparing Audio Recordings of Everyday Speech for Prosody Research: The Case of the ORD Corpus
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    Chapter 63 Recognizing Emotionally Coloured Dialogue Speech Using Speaker-Adapted DNN-CNN Bottleneck Features
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    Chapter 64 Relationship Between Perception of Cuteness in Female Voices and Their Durations
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    Chapter 65 Retaining Expression on De-identified Faces
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    Chapter 66 Semi-automatic Facial Key-Point Dataset Creation
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    Chapter 67 Song Emotion Recognition Using Music Genre Information
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    Chapter 68 Spanish Corpus for Sentiment Analysis Towards Brands
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    Chapter 69 Speech Enhancement for Speaker Recognition Using Deep Recurrent Neural Networks
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    Chapter 70 Stance Classification in Texts from Blogs on the 2016 British Referendum
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    Chapter 71 The “Retrospective Commenting” Method for Longitudinal Recordings of Everyday Speech
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    Chapter 72 The 2016 RWTH Keyword Search System for Low-Resource Languages
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    Chapter 73 The Effect of Morphological Factors on Sentence Boundaries in Russian Spontaneous Speech
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    Chapter 74 The Pausing Method Based on Brown Clustering and Word Embedding
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    Chapter 75 Unsupervised Document Classification and Topic Detection
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    Chapter 76 Using a High-Speed Video Camera for Robust Audio-Visual Speech Recognition in Acoustically Noisy Conditions
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    Chapter 77 Utilizing Lipreading in Large Vocabulary Continuous Speech Recognition
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    Chapter 78 Vocal Emotion Conversion Using WSOLA and Linear Prediction
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    Chapter 79 Voice Conversion for TTS Systems with Tuning on the Target Speaker Based on GMM
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    Chapter 80 VoiScan: Telephone Voice Analysis for Health and Biometric Applications
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    Chapter 81 Web Queries Classification Based on the Syntactical Patterns of Search Types
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    Chapter 82 What Speech Recognition Accuracy is Needed for Video Transcripts to be a Useful Search Interface?
Overall attention for this book and its chapters
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Title
Speech and Computer
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-66429-3
ISBNs
978-3-31-966428-6, 978-3-31-966429-3
Editors

Alexey Karpov, Rodmonga Potapova, Iosif Mporas

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Postgraduate 2 14%
Student > Master 2 14%
Student > Bachelor 1 7%
Other 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 4 29%
Linguistics 1 7%
Physics and Astronomy 1 7%
Mathematics 1 7%
Other 0 0%
Unknown 3 21%