Speaker Classification Based On Multiple Criteria

This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.

The "native speaker" is often thought of as an ideal language user with "a complete and possibly innate competence in the language" which is perceived as being bounded and fixed to a homogeneous speech community and linked to a nation-state. Despite recent works that challenge its empirical accuracy and theoretical utility, the notion of the "native speaker" is still prevalent today. The Native Speaker Concept shifts the analytical focus from the second language acquisition processes and teaching practices to daily interactions situated in wider sociocultural and political contexts marked by increased global movements of people and multilingual situations. Using an ethnographic approach, the volume critically elucidates the political nature of (not) claiming the "native speaker" status in daily life and the ways the ideology of "native speaker" intersects and articulates, supports, subverts, or complicates various relations of dominance and regimes of standardization. The book offers cases from diverse settings, including classrooms in Japan, a coffee shop in Barcelona, secondary schools in South Africa, a backyard in Rapa Nui (Easter Island), restaurant kitchens, a high school administrator's office, a college classroom in the United States, and the Internet. It also offers a genealogy of the notion of the "native speaker" from the time of the Roman Empire. Employing linguistic, anthropological and educational theories, the volume speaks not only to the analyses of language use and language policy, planning, and teaching, but also to the investigation of wider effects of language ideology on relations of dominance, and institutional and discursive practices.

This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence. Highlights robust and novel biometrics techniques Provides implementation strategies and future research directions in the field of biometrics Includes case studies and emerging applications

This book constitutes the refereed proceedings of the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting.

This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.

This two-volume set constitutes a state-of-the-art survey in the field of speaker classification, addressing many critical questions. The twenty-two articles of the second volume cover a number of areas, including gender recognition systems, emotion recognition, text-dependent speaker verification systems, an analysis of both speaker and verbal content information, and accent identification.