The Centre for Speech Technology Research, The university of Edinburgh

Publications by Karl Isaac

s0976649.bib

@inproceedings{Wolters:2012:HTS:2212776.2223703,
  author = {Wolters, Maria and Isaac, Karl and Doherty, Jason},
  title = {Hold that thought: are spearcons less disruptive than
                   spoken reminders?},
  booktitle = {CHI '12 Extended Abstracts on Human Factors in
                   Computing Systems},
  series = {CHI EA '12},
  pages = {1745--1750},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {2223703},
  doi = {10.1145/2212776.2223703},
  isbn = {978-1-4503-1016-1},
  keywords = {irrelevant speech effect, reminders, spearcon, speech,
                   working memory},
  location = {Austin, Texas, USA},
  numpages = {6},
  url = {http://doi.acm.org/10.1145/2212776.2223703},
  year = 2012
}
@inproceedings{wolters2010,
  author = {Wolters, Maria K. and Isaac, Karl B. and Renals, Steve},
  title = {Evaluating speech synthesis intelligibility using
                   {Amazon Mechanical Turk}},
  booktitle = {Proc. 7th Speech Synthesis Workshop (SSW7)},
  pages = {136--141},
  abstract = {Microtask platforms such as Amazon Mechanical Turk
                   (AMT) are increasingly used to create speech and
                   language resources. AMT in particular allows
                   researchers to quickly recruit a large number of fairly
                   demographically diverse participants. In this study, we
                   investigated whether AMT can be used for comparing the
                   intelligibility of speech synthesis systems. We
                   conducted two experiments in the lab and via AMT, one
                   comparing US English diphone to US English
                   speaker-adaptive HTS synthesis and one comparing UK
                   English unit selection to UK English speaker-dependent
                   HTS synthesis. While AMT word error rates were worse
                   than lab error rates, AMT results were more sensitive
                   to relative differences between systems. This is mainly
                   due to the larger number of listeners. Boxplots and
                   multilevel modelling allowed us to identify listeners
                   who performed particularly badly, while thresholding
                   was sufficient to eliminate rogue workers. We conclude
                   that AMT is a viable platform for synthetic speech
                   intelligibility comparisons.},
  categories = {intelligibility, evaluation, semantically
                   unpredictable sentences, diphone, unit selection,
                   crowd- sourcing, Mechanical Turk, HMM-based synthesis},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2010/wolters-ssw2010.pdf},
  year = 2010
}
@inproceedings{Wolters2011,
  author = {Wolters, Maria Klara and Johnson, Christine and Isaac,
                   Karl B},
  title = {Can the Hearing Handicap Inventory for Adults Be Used
                   As a Screen for Perception Experiments?},
  booktitle = {Proc. ICPhS XVII},
  address = {Hong Kong},
  abstract = {When screening participants for speech perception
                   experiments, formal audiometric screens are often not
                   an option, especially when studies are conducted over
                   the Internet. We investigated whether a brief
                   standardized self-report questionnaire, the screening
                   version of the Hearing Handicap Inventory for Adults
                   (HHIA-S), could be used to approximate the results of
                   audiometric screening. Our results suggest that while
                   the HHIA-S is useful, it needs to be used with
                   extremely strict cut-off values that could exclude
                   around 25\% of people with no hearing impairment who
                   are interested in participating. Well constructed,
                   standardized single questions might be a more feasible
                   alternative, in particular for web experiments.},
  categories = {audiometry,hearing handicap inventory,screening},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/Wolters_icphs.pdf},
  year = 2011
}