Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people
Articulation errors are common in children but may also persist in adulthood. These errors decrease the speech intelligibility and hamper the ability of a person to communicate properly. A speech language pathologist carefully examines the speech to identify the articulation error patterns. It is exhaustive and time consuming process. This information about the patterns of articulation disorders is then used in treatment. In this paper, a noble approach has been presented to automatically detect the articulation error patterns in Punjabi speech. To provide support for hearing impaired people, a picture naming task has been developed. The proposed tool processes recorded spoken words and outputs the articulation error patterns i.e. substitution and omission of particular phonemes and their position in the spoken word. The basic principles of speech word recognition are used to establish the articulation errors in speech samples. The rigorous experimentation has shown that the proposed tool is accurate in identifying the articulation error patterns in controlled environment.
articulation disorders punjabi articulation test mel frequency cepstral coefficients classification using support vector machines and voting