The Psycholinguistics of Bilingualism presents a comprehensive introduction to the foundations of bilingualism, covering language processing, language acquisition, cognition and the bilingual brain. This thorough introduction to the psycholinguistics of bilingualism is accessible to non-specialists with little previous exposure to the field Introduces students to the methodological approaches currently employed in the field, including observation, experimentation, verbal and computational modelling, and brain imaging Examines spoken and written language processing, simultaneous and successive language acquisition, bilingual memory and cognitive effects, and neurolinguistic and neuro-computational models of the bilingual brain Written in an accessible style by two of the field’s leading researchers, together with contributions from internationally-renowned scholars Featuring chapter-by-chapter research questions, this is an essential resource for those seeking insights into the bilingual mind and our current knowledge of the cognitive basis of bilingualism

Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol This book collects many of the techniques used in speech coding and presents them in an accessible fashion Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present The theory behind the applications is thoroughly analyzed and proved

You'll find complete coverage of the state-of-the-field, including pulse code modulators... adaptive pulse code modulators... adaptive differential pulse code modulation... adaptive predictive coders... linear predictive coders... code excited linear predictive coders... multipulse excited linear predictive coders... subband coders... transform coders, and much more.

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

This book provides scientific understanding of the most central techniques used in speech coding both for advanced students as well as professionals with a background in speech audio and or digital signal processing. It provides a clear connection between the Why’s?, How’s?, and What’s, such that the necessity, purpose and solutions provided by tools should be always within sight, as well as their strengths and weaknesses in each respect. Equivalently, this book sheds light on the following perspectives for each technology presented: Objective: What do we want to achieve and especially why is this goal important? Resource / Information: What information is available and how can it be useful? Resource / Platform: What kind of platforms are we working with and what are the capabilities/restrictions of those platforms? This includes properties such as computational, memory, acoustic and transmission capacity of devices used. Solutions: Which solutions have been proposed and how can they be used to reach the stated goals? Strengths and weaknesses: In which ways do the solutions fulfill the objectives and where are they insufficient? Are resources used efficiently? This book concentrates solely on code excited linear prediction and its derivatives since mainstream speech codecs are based on linear prediction It also concentrates exclusively on time domain techniques because frequency domain tools are to a large extent common with audio codecs.

This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.