In India, Cleft Lip/Palate is a common congenital craniofacial deformity. These are openings in the lip and (or) palate. Various charities, such as Smile Train and Transforming Faces provide free cleft lip and palate surgeries. The child requires constant monitoring and therapy by speech therapists, after surgery. For very small children, therapy can be made more effective with the use of technology developed in close association with speech therapists. Often, multiple surgeries are required according to the age and growth of the child, as determined by the doctors. The therapy offered after each stage of the cleft treatment is different. The proposed speech therapy system is an affordable therapeutic system to provide training for correct articulation of words. The technique uses Support Vector Machine (SVM) to recognize speech based on features using Mel-Frequency Cepstral Coefficients (MFCC). This project aims at enhancing the learning experience of speech production for patients who have undergone cleft lip or palatal surgeries by developing a cleft suite which adopts the Supervised Learning algorithm. A GUI has been developed for selected syllables which aids the therapists/parents to train the affected patient to articulate words in the correct manner. The system will help the young patient to correctly articulate the words through practice. This will greatly increase the effectiveness of the surgery done for the patients, by easing the burden on the therapist and capturing the interest of the young patients (4 – 7 years of age).