Evaluation of Spoken Document Retrieval for Historic Speech Collections
نویسندگان
چکیده
The re-use of spoken word audio collections maintained by audiovisual archives is severely hindered by their generally limited access. The CHoral project, which is part of the CATCH program funded by the Dutch Research Council, aims to provide users of speech archives with online, instead of on-location, access to relevant fragments, instead of full documents. To meet this goal, a spoken document retrieval framework is being developed. In this paper the evaluation efforts undertaken so far to assess and improve various aspects of the framework are presented. These efforts include (i) evaluation of the automatically generated textual representations of the spoken word documents that enable word-based search, (ii) the development of measures to estimate the quality of the textual representations for use in information retrieval, and (iii) studies to establish the potential user groups of the to-be-developed technology, and the first versions of the user interface supporting online access to spoken word collections.
منابع مشابه
Exploring the Incorporation of Acoustic Information into Term Weights for Spoken Document Retrieval
Standard term weighting methods derived from experience with text collections have been used successfully in various spoken document retrieval evaluations. However, the speech recognition techniques used to index the contents of spoken documents are errorful, and these mistakes are propagated into the document index file resulting in degradation of retrieval performance. It has been suggested t...
متن کاملEffects of Query Expansion for Spoken Document Passage Retrieval
One of the major challenges for spoken document retrieval is how to handle speech recognition errors within the target documents. Query expansion is promising for this challenge. In this paper, we apply relevance models, a type of query expansion method, for the spoken document passage retrieval task. We adapted the original relevance model for passage retrieval. We also extended it to benefit ...
متن کاملCollecting Spontaneously Spoken Queries for Information Retrieval
Motivated to realize the speech-driven information retrieval systems that accept spontaneously spoken queries, we developed a method to collect such speech data derived from the pre-defined search topics that had been systematically constructed for IR research. In order to evaluate both our method and the performance of the document retrieval by using the spontaneously spoken queries, we took p...
متن کاملThe CLEF 2003 Cross-Language Spoken Document Retrieval Track
The current expansion in collections of natural language based digital documents in various media and languages is creating challenging opportunities for automatically accessing the information contained in these documents. This paper describes the CLEF 2003 track investigation of Cross-Language Spoken Document Retrieval (CLSDR) combining information retrieval, cross-language translation and sp...
متن کاملExperiments on Web Retrieval Driven by Spontaneously Spoken Queries
Motivated to realize the speech-driven information retrieval systems that accept spontaneously spoken queries, we developed a method to collect such speech data derived from the pre-defined search topics that had been systematically constructed for IR research. In order to evaluate both our method and the performance of the document retrieval by using the spontaneously spoken queries, we took p...
متن کامل