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ABSTRACT

Speech Retrieval systems utilize automatic speech recognition (ASR) to generate textual data for indexing. However, automatic transcriptions include errors, either because of out-of-vocabulary (OOV) words or due to ASR inaccuracy. In this work, we address spoken information retrieval in Turkish, a morphologically rich language where OOV rates are high. We apply several techniques, such as using subword units and indexing alternative hypotheses, to cope with the OOV problem and ASR inaccuracy.

Experiments are performed on our Turkish Broadcast News (BN) Corpus which also incorporates a spoken IR collection. Results indicate that word segmentation is quite useful but the efficiency of indexing alternative hypotheses depends on retrieval type.

REFERENCES

• 1: E. Arisoy, D. Can, S. Parlak, H. Sak, and M. Saraclar. Turkish broadcast news transcription and retrieval. IEEE Transactions on Speech and Audio Processing, June 2009.
• 2: Fazli Can , Seyit Kocberber , Erman Balcik , Cihan Kaynak , H. Cagdas Ocalan , Onur M. Vursavas, Information retrieval on Turkish texts, Journal of the American Society for Information Science and Technology, v.59 n.3, p.407-421, February 2008 [doi>10.1002/asi.v59:3]
• 3: M. Creutz and K. Lagus. Unsupervised morpheme segmentation and morphology induction from text corpora using Morfessor 1.0. Publications in Computer and Information Science Report A81, Helsinki University of Technology, March 2005.
• 4: J. Garofolo, G. Auzanne, and E. Voorhees. The TREC spoken document retrieval track: A success story. In Proc. TREC 8, pages 16--19, 2000.
• 5: Ville T. Turunen , Mikko Kurimo, Indexing confusion networks for morph-based spoken document retrieval, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, July 23-27, 2007, Amsterdam, The Netherlands [doi>10.1145/1277741.1277849]
• 6: NIST. (STD) 2006 evaluation plan http://www.nist.gov/speech/tests/std/. 2006.
• 7: S. Parlak and M. Saraclar. Spoken term detection for Turkish broadcast news. In Proc. ICASSP, pages 5244--5247, April 2008.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.7 Natural Language Processing
          Subjects: Speech recognition and synthesis

General Terms:
Algorithms, Languages, Performance

Keywords:
speech retrieval, spoken document retrieval, spoken term detection, subword indexing