**** We apologize for the multiple copies of this email. In case you are
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Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by the HiTZ research center (Basque Center for
Language Technology, http://hitz.eus). We are organizing one seminar
every month. You can check the videos of previous webinars and the
schedule for upcoming webinars here: http://www.hitz.eus/webinars Next
webinar:
* *Speaker*: Martin Cooke (Ikerbasque – Basque Foundation for Science)
* *Title*: Who needs big data? Listeners' adaptation to extreme forms
of variability in speech
* *Date*: May 4, 2023, 15:00 CET
* *Summary*: No theory of speech perception can be considered complete
without an explanation of how listeners are able to extract meaning
from severely degraded forms of speech. Starting with a brief
overview of a century of research which has seen the development of
many types of distorted speech, followed by some anecdotal evidence
that automatic speech recognisers still have some way to go to match
listeners' performance in this area, I will describe the outcome of
one recent [1] and several ongoing studies into the detailed time
course of a listener's response to distorted speech. These studies
variously consider the rapidity of adaptation, whether adaptation
can only proceed if words are recognised, the degree to which the
response to one form of distortion is conditioned on prior
experience with other forms, and the nature of adaptation in a
language other than one's own native tongue. Taken together,
findings from these experiments suggest that listeners are capable
of continuous and extremely rapid adaptation to novel forms of
speech that differ greatly from the type of input that makes up the
vast bulk of their listening experience. It is an open question as
to whether big-data-based automatic speech recognition can offer a
similar degree of flexibility. [1] Cooke, M, Scharenborg, O and
Meyer, B (2022). The time course of adaptation to distorted speech.
J. Acoust. Soc. Am. 151, 2636-2646. 10.1121/10.0010235
*Bio:* Martin Cooke is Ikerbasque Research Professor. After starting
his career in the UK National Physical Laboratory, he worked at the
University of Sheffield for 26 years before taking up his current
position. His research has focused on analysing the computational
auditory scene, devising algorithms for robust automatic speech
recognition and investigating human speech perception. His interests
also include the effects of noise on talkers as well as listeners,
and second language listening in noise.
# *Upcoming webinars*:
* Pascale Fung (June 1)
Check past and upcoming webinars at the following url:
http://www.hitz.eus/webinars If you are interested in participating,
please complete this registration form:
http://www.hitz.eus/webinar_izenematea
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
HiTZ Zentroa
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