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The Oxford Handbook of Voice Perception
Speech perception has been the focus of innumerable studies over the past decades. While our abilities to recognize individuals by their voice state plays a central role in our everyday social interactions, limited scientific attention has been devoted to the perceptual and cerebral mechanisms underlying nonverbal information processing in voices. The Oxford Handbook of Voice Perception takes a comprehensive look at this emerging field and presents a selection of current research in voice perception. The forty chapters summarise the most exciting research from across several disciplines covering acoustical, clinical, evolutionary, cognitive, and computational perspectives. In particular, this handbook offers an invaluable window into the development and evolution of the 'vocal brain', and considers in detail the voice processing abilities of non-human animals or human infants. By providing a full and unique perspective on the recent developments in this burgeoning area of study, this text is an important and interdisciplinary resource for students, researchers, and scientific journalists interested in voice perception.
The Cambridge Handbook of Human Affective Neuroscience
This handbook is the only single volume to capture the current range of neuroscience approaches to human emotion. The contributions, written by the world's leading scientists in the field, address a wide variety of topics, from face and voice perception to pain and music, as well as social behaviors, decision making, and individual differences.
Language in Our Brain
A landmark account of the neurobiological basis of language—arguing that species-specific brain differences may be at the root of the human capacity for language. Language makes us human. It is an intrinsic part of us, although we seldom think about it. Language is also an extremely complex entity with subcomponents responsible for its phonological, syntactic, and semantic aspects. In this landmark work, Angela Friederici offers a comprehensive account of these subcomponents and how they are integrated. Tracing the neurobiological basis of language across brain regions in humans and other primate species, she argues that species-specific brain differences may be at the root of the human ca...
Orient & Occident
"During the 19th century, Austrian painters were drawn to faraway countries for their inspiration. Initially, they documented scenes and motifs. Later, the visual allure of foreign places, the transformation of landscapes and buildings by sunlight, the depiction of heat and the exotic surroundings also began to find expression in their paintings and drawings. One of the most important Austrian painters to visit the Orient was Leopold Carl Mu ller, who produced many market scenes and figures over the course of nine winters in Egypt. Other Austrian painters, such as Alois Schonn, Alphons Mielich and Bernhard Fiedler, also travelled to the Orient, and Rudolf Swoboda and Hermann von Ko nigsbrunn even reached India and Ceylon. August von Pettenkofen, Otto von Thoren and Johann Gualbert Raffalt looked for inspiration closer to home, in neighboring Hungary. This publication brings together the impressions of these artists of Hungary, the Balkan, Greece and Constantinople, Egypt and the Holy Land, as well as India, Ceylon and the Indian Ocean."--Publisher's website.
Integrating Face and Voice in Person Perception
This book follows a successful symposium organized in June 2009 at the Human Brain Mapping conference. The topic is at the crossroads of two domains of increasing importance and appeal in the neuroimaging/neuroscience community: multi-modal integration, and social neuroscience. Most of our social interactions involve combining information from both the face and voice of other persons: speech information, but also crucial nonverbal information on the person’s identity and affective state. The cerebral bases of the multimodal integration of speech have been intensively investigated; by contrast only few studies have focused on nonverbal aspects of face-voice integration. This work highlights...
