Through recent research, a correlation has been found between rhythm in speech and language development, specifically between rhythm and grammar. Knowing that the ability to produce more rhythmic speech is beneficial in language development produces a need for a device that can assess the speech rhythm of an individual. Currently, there is no standard diagnostic or therapy technique for speech disorders that incorporates rhythmic ability. The technique being investigated by the Music Cognition lab in the Department of Otolaryngology at Vanderbilt University involves inefficient data streamlining and analysis. The only existing data analysis process is not practical for widespread and clinical applications.
The solution we propose is a streamlined data analysis process that uses only MATLAB, as opposed to multiple data analysis programs. Data will directly be imported into MATLAB, processed, and exported to provide rapid feedback to the individual regarding his or her rhythm. Based on the rhythm assessment, the future direction of intervention or music therapy can be determined immediately by the clinician.
For further information regarding our goals and design plan, refer to our grant proposal.