Springer, 2016. — 288 p.
This volume brings together through a peer-revision process advanced research results obtained on nonlinear speech processing, following the tradition initiated by the European COST Action 277: “Nonlinear Speech Processing” (http://www.cost. eu/COST_Actions/ict/277). The research published in this book was discussed for the first time at the 7th edition of the International Workshop on “Nonlinear Speech Processing (NOLISP)” held in Vietri sul Mare, Italy, on May 18–20, 2015. The workshop afforded a change of perspective in nonlinear speech processing, where the research focus moved from “engineering tools” to “interactional exchanges” and asked for investigations of coding/decoding and computational processes, and social and cognitive speech features for improving the quality of life of end users of communicative interfaces exploiting speech as the main communicative tool for human–machine interaction. The consequences should result in the development of autonomous, adaptive voice user interfaces (VUIs) able to exploit linguistic and paralinguistic information and allow free form of conversations. This approach will foster traverse investigations on the multifunctional role of speech and multimodal communication modes that account for gestures, emotions, and social signal processing for developing friendly and socially believable interactive dialogue systems.
Part I Nonlinear Speech Processing: An IntroductionA Decade of Encouraging Speech Processing “Outside of the Box”—A Foreword
Recent Advances in Nonlinear Speech Processing: Directions and Challenges
Part II Features of Sound ChangeThe Relationship between the (Mis)-Parsing of Coarticulation in Perception and Sound Change: Evidence from Dissimilation and Language Acquisition
Nonlinear Timing and Language Processing in Norm and Pathology
Temporal Information Processing and Language Skills in Children with Specific Language Impairment
Kinematic Modelling of Diphthong Articulation
Part III Identifying Psychological, and Neural Disorders from SpeechMulti-class Versus One-Class Classifier in Spontaneous Speech Analysis Oriented to Alzheimer Disease Diagnosis
On the Significance of Speech Pauses in Depressive Disorders: Results on Read and Spontaneous Narratives
Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability
Phonation Biomechanics in Quantifying Parkinson’s Disease Symptom Severity
Language Independent Detection Possibilities of Depression by Speech
Part IV Improving VUIConstructing a Deep Neural Network Based Spectral Model for Statistical Speech Synthesis
The Influence of Adaptation Database Size on the Quality of HMM-based Synthetic Voice Based on the Large Average Voice Model
Comparison of Text-Independent Original Speaker Recognition from Emotionally Converted Speech
An Analysis of Shallow and Deep Representations of Speech Based on Unsupervised Classification of Isolated Words
ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis
Linear Versus Nonlinear Multi-scale Decomposition for Co-channel Speaker Identification System
Part V Identifying New Nonlinear Coding and Decoding FeaturesWigner-Ville Representation of a Stationary Voiced Speech Model
Glottal Closure Instant Detection by the Multi-scale Product of the Derivative Glottal Waveform Signal
Non-linear Dynamics Characterization from Wavelet Packet
Transform for Automatic Recognition of Emotional Speech
Assessing a Set of Glottal Features from Vocal Fold Biomechanics
Pitch Estimation Based on the Cepstrum Analysis by the Multi Scale Product of Clean and Noisy Speech
Minimizing Free Energy of Stochastic Functions of Markov Chains
A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities
Part VI The Social Life of Speech FeaturesWhen the Game Gets Difficult, then it is Time for Mimicry
Predicting Cognitive Load Levels from Speech Data
Unit Selection Using Acoustic Supra-Segmental Cues to Improve Prosody
A User-Centric Design of Service Robots Speech Interface for the Elderly
New Method for Finding Optimum Number of Characteristics to Classify Speakers by Age