The present invention relates to a
system and method configured for analysing acoustic parameters of speech to detect, diagnose, predict and / or monitor progression of a condition, disorder, or
disease, and more particularly, any of paediatric and adult neurological and
central nervous system conditions including but not limited to
low back pain,
multiple sclerosis,
stroke, seizures, Alzheimer's
disease, Parkinson's
disease,
dementia,
motor neuron disease, muscular
atrophy, acquired brain injury, cancers involving neurological deficits, paediatric developmental conditions and rare genetic disorders such as
spinal muscular atrophy. The
system and method extracts a first
formant data set from words spoken by an individual and uses these to classify the vowels in the words on a first computing device, such as a mobile
smart phone equipped with a
microphone into which an individual speaks. The
system stores at least some of these frequencies for the
vowel formants in a second
formant data set as a recorded file and provides the second
formant data set as input to acoustic
metrics to generate
score data from which an assessment is made to determine the articulation level of the vowels in the words spoken by the individual, allowing allow for detection, diagnosis, prediction and / or monitoring progression of the condition, disorder, or disease.