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The book focuses on the part of the audio conversation not related to language such as speaking rate (in terms of number of syllables per unit time) and emotion centric features. This text examines using non-linguistics features to infer information from phone calls to call centers. The author analyzes "how" the conversation happens and not "what" the conversation is about by audio signal processing and analysis.
The book focuses on the part of the audio conversation not related to language such as speaking rate (in terms of number of syllables per unit time) and emotion centric features. This text examines using non-linguistics features to infer information from phone calls to call centers. The author analyzes "how" the conversation happens and not "what" the conversation is about by audio signal processing and analysis.
This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human–computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human–machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors’ previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
This book is a collection of keynote lectures from international experts presented at International Conference on NextGen Electronic Technologies (ICNETS2-2016). ICNETS2 encompasses six symposia covering all aspects of electronics and communications domains, including relevant nano/micro materials and devices . This volume comprises of recent research in areas like computational signal processing analysis, intelligent embedded systems, nanoelectronic materials and devices, optical and microwave technologies, VLSI design: circuits systems and application, and wireless communication networks, and the internet of things. The contents of this book will be useful to researchers, professionals, and students working in the core areas of electronics and their applications, especially to signal processing, embedded systems, and networking.
This book examines the intimate relationship between race and technologies and how digital platforms reabsorb racism as an internal arrangement within its modes of technical and affective architecture. Premising the idea that technologies supplant and mirror the ‘logic’ of racialization as mimetic instruments of social control and violence, the book interrogates the present arrangement of platform capital, and its modes of re-abstraction of race into its fibres and terrains of re-territorialization of the human spheres of social, economic and political life. If capitalism reframed and consolidated racialization through its re-territorialization and primitive accumulation producing continuities from colonization and imperialism, platformization and digital capital redrafts and redistributes its racial logic in new modes of reassembling social and economic life through data, machine learning, algorithms, software designs and in tandem its automaticity. In learning, refining, and accelerating its enterprise through the mimetic violence of producing difference, racism in the digital age calibrates intimately with power, Western rationality and the ubiquity of technologies within the everyday. If the non-hominization of alterity relied on discoveries of science and its conflations with truth and White supremacy, the sustained production and oppression of the ‘inferior other’ co-opted automaticity and technologies, reiterating our fascination with and our understanding of human progress as pegged to machines, as entities working in excess of human cognition and comprehension, connecting and responding to its ambient intelligence despite its material absence. The book underpins the configuration of power and White supremacy through its co-enterprise with technologies seeks to provide an alternative and decolonial approach to technology studies particularly new media and digital technological advancements, leveraging on the notion of the digital age as an era of acceleration of difference, experimentation and the production of alterity through overt and covert modes of surveillance, image recognition software, and algorithms which work in complicity with racial capital.
This book discusses human–machine interactions, specifically focusing on making them as natural as human–human interaction. It is based on the premise that to get the right connect between human and machines, it is essential to understand not only the behavior of the person interacting with the machine, but also the limitations of the technology. Firstly, the authors review the evolution of language as a spontaneous, natural phenomenon in the overall scheme of the evolutionary development of living beings. They then go on to examine the possible approaches to understanding and representing the meaning and the common aspects of human–human and human–machine interactions, and introduce the keyconcept-keyword (also called minimal parsing) approach as a convenient and realistic way to implement usable human–machine interface (HMI) systems. For researchers looking for practical approaches, way beyond the realms of theory, this book is a must read.
A multicore platform uses distributed or parallel computing in a single computer, and this can be used to assist image processing algorithms in reducing computational complexities. By implementing this novel approach, the performance of imaging, video, and vision algorithms would improve, leading the way for cost-effective devices like intelligent surveillance cameras. Multi-Core Computer Vision and Image Processing for Intelligent Applications is an essential publication outlining the future research opportunities and emerging technologies in the field of image processing, and the ways multi-core processing can further the field. This publication is ideal for policy makers, researchers, technology developers, and students of IT.
The Language of Outsourced Call Centers is the first book to explore a large-scale corpus representing the typical kinds of interactions and communicative tasks in outsourced call centers located in the Philippines and serving American customers. The specific goals of this book are to conduct a corpus-based register comparison between outsourced call center interactions, face-to-face American conversations, and spontaneous telephone exchanges; and to study the dynamics of cross-cultural communication between Filipino call center agents and American callers, as well as other demographic groups of participants in outsourced call center transactions, e.g., gender of speakers, agents’ experience and performance, and types of transactional tasks. The research design relies on a number of analytical approaches, including corpus linguistics and discourse analysis, and combines quantitative and qualitative examination of linguistic data in the investigation of the frequency distribution and functional characteristics of a range of lexico/syntactic features of outsourced call center discourse.
Service chain management enables service organisations to improve customer satisfaction and reduce operational costs. In this book, Christos Voudouris and his BT colleagues together with experts from industry and academia present the latest innovations and technologies used to manage the operations of a service company. The viewpoints presented are based on the BT experience and on associated research and development. Service chain management is looked at both from the enterprise perspective and from the standpoints of the service professional and customer. The focus is on real-world challenges.
This two-volume set, consisting of LNCS 7816 and LNCS 7817, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, CICLING 2013, held on Samos, Greece, in March 2013. The total of 91 contributions presented was carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections named: general techniques; lexical resources; morphology and tokenization; syntax and named entity recognition; word sense disambiguation and coreference resolution; semantics and discourse; sentiment, polarity, subjectivity, and opinion; machine translation and multilingualism; text mining, information extraction, and information retrieval; text summarization; stylometry and text simplification; and applications.