Summary of the paper

Title Greybeard Longitudinal Speech Study
Authors Linda Brandschain, David Graff, Christopher Cieri, Kevin Walker, Chris Caruso and Abby Neely
Abstract The Greybeard Project was designed so as to enable research in speakerrecognition using data that have been collected over a long period of time. Since 1994, LDC has been collecting speech samples for use in research andevaluations. By mining our earlier collections we assembled a list of subjectswho had participated in multiple studies. These participants were thencontacted and asked to take part in the Greybeard Project. The only constraintwas that the participants must have made numerous calls in prior studies andthe calls had to be a minimum of two years old. The archived data was sortedby participant and subsequent calls were added to their files. This isthefirst longitudinal study of its kind. The resulting corpus contains multiplecalls for each participant that span anywhere from two to 12 years in time. Itis our hope that these data will enable speaker recognition researchers toexplore the effects of aging on voice.
Language Speech resource/database
Topics Corpus (creation, annotation, etc.), Person Identification, Speech resource/database
Full paper Greybeard Longitudinal Speech Study
Bibtex @InProceedings{BRANDSCHAIN10.789,
  author = {Linda Brandschain, David Graff, Christopher Cieri, Kevin Walker, Chris Caruso and Abby Neely},
  title = {Greybeard Longitudinal Speech Study},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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