A NOVEL APPROACH TO STUTTERED SPEECH CORRECTION

Alim Sabur Ajibola (Mechatronics Engineering Department, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia)
Nahrul Khair bin Alang Md. Rashid (Mechatronics Engineering Department, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia)
Wahju Sediono (Mechatronics Engineering Department, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia)
Nik Nur Wahidah Nik Hashim (Mechatronics Engineering Department, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia)

Jurnal Ilmu Komputer dan Informasi
Vol 9, No 2 (2016): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Stuttered speech is a dysfluency rich speech, more prevalent in males than females. It has been associated with insufficient air pressure or poor articulation, even though the root causes are more complex. The primary features include prolonged speech and repetitive speech, while some of its secondary features include, anxiety, fear, and shame. This study used LPC analysis and synthesis algorithms to reconstruct the stuttered speech. The results were evaluated using cepstral distance, Itakura-Saito distance, mean square error, and likelihood ratio. These measures implied perfect speech reconstruction quality. ASR was used for further testing, and the results showed that all the reconstructed speech samples were perfectly recognized while only three samples of the original speech were perfectly recognized.