Previous studies using acoustic correlates to measure speech rhythm have used small samples of audio and a limited number of speakers. Few have included standard Arabic in the analysis. This study uses Arabic news broadcast along with data output from an automatic speech recognizer time-aligned transcript to test over 50 minutes of speech by 46 speakers. The results show that Arabic, like English and Chinese news broadcasts, exhibits a range of individual speaker rhythm, but its average clearly distinguishes it from the other two on the rhythm continuum. A large number of speakers also makes the average more reliable.
Bibliographic reference. Dockendorf, Liz / Almubayei, Dalal / Benton, Matthew (2008): "Testing a large corpus of natural standard Arabic for rhythm class", In INTERSPEECH-2008, 771.