SLPL is a research laboratory of the Department of Computer Science and Engineering at Sharif University Of Technology. The main area of the research in this lab is speech and language processing. Automatic speech recognition is a major field of research of this group and a speech recognition engine including the latest algorithms is developed. This engine is customized for the Persian language including Persian language models (statistical and grammatical) and the first version is released as NEVISA, the most robust and accurate Persian dictation system. SLPL also developed NEWSHA, the high performance Persian telephony IVR and is expanding it towards a complete spoken dialogue system. The research fields of this group are:

  • Digital Speech Processing
  • Robust Speech Recognition
  • Spoken Dialogue Systems
  • Speech Synthesis (Text-To-Speech)
  • Speech Enhancement
  • Natural Language Modeling
  • Speech Database Design
  • Pattern Recognition

More information about this group is available in