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Performance and Evaluation

  • Dia AbuZeina
  • Moustafa Elshafei
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series

Abstract

This chapter presents the results achieved by modeling cross-word pronunciation variation problem of MSA. We practically investigated two MSA phonological rules (Idgham and Iqlaab) which significantly enhanced recognition accuracy. Three ASR’s metrics were measured: word error rate (WER), out of vocabulary (OOV), and perplexity (PP).

Keywords

Language Model Compound Word Baseline System Word Error Rate Substitution Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Dia AbuZeina 2012

Authors and Affiliations

  1. 1.King Fahd University of Petroleum and MineralsDhahranSaudi Arabia

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