By Pierre Divenyi
This booklet is suitable for these focusing on speech technology, listening to technological know-how, neuroscience, or desktop technology and engineers engaged on functions reminiscent of 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
Middle–latency evoked potentials arise between 10 and 50 ms after stimulus presentation and are thought to reflect the activity of the primary auditory cortex. Long–latency evoked potentials take place after 50 ms and include the P1, N1, and P2 wave. The N1–P2 complex is thought to be of particular theoretical interest since it is related to signal detection, and is present only when a transient auditory stimulus is audible. , 1982). 2 17 The mistuned harmonic paradigm One way of investigating the neural underpinnings of concurrent sound segregation is by means of the mistuned harmonic paradigm.
In the harder condition, participants were further asked to identify whether the targets were tuned or mistuned. Participants were faster in detecting targets defined by duration only than by both duration and tuning. More 20 Speech Separation importantly, at the unattended location mistuned stimuli generated an ORN whose amplitude was not affected by task difficulty. These results provide strong support for the proposal that concurrent sound segregation can take place independently of listener attention.
J Acoust Soc Am, 100(6), 3491–3502. , 1990, Hearing a mistuned harmonic in an otherwise periodic complex tone. J Acoust Soc Am, 88(4), 1712–1724. , 1999, Auditory stream segregation in dyslexic adults. Brain, 122(Pt 5), 907–913. , 1973, Electrical signs of selective attention in the human brain. Science, 182(108), 177–180. , 1971, Evoked potential correlates of auditory signal detection. Science, 172(990), 1357–1360. , 1997, Auditory scene analysis by songbirds: stream segregation of birdsong by European starlings (Sturnus vulgaris).
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