The speech recognition algorithm for healthcare industries has three phases Speech Detection (SD), Doctor Recognition (DR) and Speech Recognition (SR). Speech is captured from a remote computer by recording continuously the sound signals and removing unwanted data. A modified K-means clustering is proposed to reduce the search space for matching the doctors voice features with the database voice features. After identifying the cluster that closely matches the input data, four methods, namely, cross correlation, frequency multiplication, frequency cross correlation and peak signal comparison,...