Investigating spoken Arabic digits in speech recognition setting

This recognition system achieved a 99.5% correct digit recognition in the multi-speaker mode, and 94.5% in speaker-independent mode. This paper also investigated Arabic digits as “patterns on paper” by using spectrogram and waveform information to cross check and investigate digit recognition system results and to try to locate the causes of miss-recognized digits. All Arabic digits were described by showing their constructing phonemes and syllables. Comparisons of all possible pairs of digits were also investigated and comments were stated with links to digit recognition system output. An understanding of the causes of automatic digit recognition system errors may help in building digit recognition systems that are simple, cheap, and fast.