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Solution to Task 2 The answer is True. A short description of solution 2: I illustrated this in the solution 1. There is no better way to find the median manually without re-arranging the data in ascending order ………………………………………………… Task 3 What is the interquartile range of the data? Solution to Task 3 The interquartile range is 6 A short description of solution 3: what I did, manually, was that I found the middle location of all data in the lower half of the data leftward of the median (2.8) to get the first quartile (Q1). Then I find the middle location of all data in the upper half of the data rightward of the median (2.8) to get the third quartile (Q3).
Proposed System Block Diagram The first stage of any recognize development work is data preparation. MFCC Features are extracted from the training and testing speech files; HMM models are developed only for training files for each phoneme using MFCC features and the transcription (text information about content in speech file) data called word modelling. Each HMM model is represented by 3 to 5 states were in each state is represented by 8 Gaussian Mixture Model (GMM) mixtures for more accuracy they are trained n times. During the testing stage, the Viterbi search algorithm is used for the best state sequence to match the given observation sequence of the test data and represents the text of a speech file on the command prompt. The overall recognition performance is calculated based on word substitution, deletion and insertion errors found during recognition.
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