Al-Diri, Bashir, Sharieh, Ahmad and Hudaib, Taghread (2002) A database for Arabic speech recognition ARABIC_D. Technical Report. The University of Jordan.
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| Item Type: | Paper or Report (Technical Report) |
|---|---|
| Item Status: | Live Archive |
Abstract
This paper describes the creation of new Arabic Speech Corpus (ASC) for Large Vocabulary Continuous Speech Recognition (LVCSR) technology. It describes the steps of creation and the process of recording the database used for the ASC. The ASC is designed to be comparable to corpora of other natural languages. The corpus contains 4740 utterances from Six speakers (three males and three females). There are 620 statements for training and 171 statements for testing and evaluation for each speaker. There are 3622 words, with 27725 triphones, where 5034 of them are unique.
| Keywords: | Acoustic, Arabic Speech, Continuous, Speech Recognition, Tryphone |
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| Subjects: | G Mathematical and Computer Sciences > G710 Speech and Natural Language Processing |
| Divisions: | College of Science > School of Computer Science |
| Related URLs: | |
| ID Code: | 26898 |
| Deposited On: | 07 Apr 2017 12:47 |
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