by Roeland Ordelman, Willemijn Heeren, Franciska de Jong, Marijn Huijbregts, and Djoerd Hiemstra
This paper presents and discusses ongoing work aiming at affordable disclosure of real-world spoken heritage archives in general, and in particular of a collection of recorded interviews with Dutch survivors of World War II concentration camp Buchenwald. Given such collections, we at least want to provide search at different levels and a flexible way of presenting results. Strategies for automatic annotation based on speech recognition â€“ supporting e.g., within-document searchâ€“ are outlined and discussed with respect to the Buchenwald interview collection. In addition, usability aspects of the spoken word search are discussed on the basis of our experiences with the online Buchenwald web portal. It is concluded that, although user feedback is generally fairly positive, automatic annotation performance is not yet satisfactory, and requires additional research.
To be published in the Journal of Digital Information 10(6).