By Pierre Divenyi
This e-book is suitable for these focusing on speech technological know-how, listening to technological know-how, neuroscience, or laptop technological know-how and engineers engaged on purposes akin to automated speech reputation, cochlear implants, hands-free phones, sound recording, multimedia indexing and retrieval.
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Extra resources for Speech Separation by Humans and Machines
Snyder for their comments on the manuscript and valuable discussion. I am particularly indebted to Peter Assmann and Quentin Summerfield for providing the vowel stimuli. This work was supported by a grant from the Canadian Institute for Health Research. , 2003, Sound recognition and localization in man: specialized cortical networks and effects of acute circumscribed lesions. Exp Brain Res, 153(4), 591–604. Alain, C. , 2000, Selectively attending to auditory objects. Front Biosci, 5, D202–212. , 2001, “What” and “where” in the human auditory system.
The neural representations of the acoustic regularities (often called the “standard”), which are extracted from the ongoing sound sequence, are maintained in memory and form the basis for the change detection process. Incoming sounds that deviate from the neural trace of the standard elicit MMN. Thus, the presence of the MMN can also be used to ascertain what representation of the standard was stored in memory. 1 In the top panel, a typical auditory oddball paradigm is shown. An “oddball” or infrequently–occurring sound (represented by the letter B) is randomly presented amongst a frequently repeating sound (represented by the letter A).
Deficits in listeners’ aptitude to perceptually organize auditory input could have dramatic consequences on the perception and identification of complex auditory signals such as speech and music. , 2000). Hence, understanding how the brain solves complex auditory scenes that unfold over time is a major goal for both psychological and physiological sciences. Although auditory scene analysis has been investigated extensively for almost 30 years and there have been Chapter 3: Speech separation: Further insights 15 several attempts to use computer models to simulate or reproduce the phenomena found in an increasingly extensive literature, major gaps remain between psychoacoustic research and neurophysiological research.
Speech Separation by Humans and Machines by Pierre Divenyi