Performance Tuning and System Evaluation for Computer Aided Pronunciation Learning

نویسندگان

  • Salah Eldeen Hamid
  • Ossama Abdel-Hamid
  • Mohsen Rashwan
چکیده

This paper describes the use of a new automatic evaluation technique to evaluate speech-enabled computer aided pronunciation learning (CAPL) systems. The CAPL system is a part of a computer aided automatic training of correct recitation for the holy Qur an for Arabic speakers. The proposed technique evaluates the system by measuring the degree of usefulness of its feedback to learners. Evaluating CAPL systems by this means forces system designers to try to emphasize the system response for confident decisions and make general feedbacks, or no comments for non-confident decisions to reduce deceiving effect of inherent speech recognition systems limited accuracy. Automation of the evaluation process is vital due to complexity of CAPL systems and the existence for many tunable thresholds and parameters.

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تاریخ انتشار 2004