Performance of any continuous speech recognition system is dependent on the accuracy of its acoustic model. Hence,
preparation of a robust and accurate acoustic model lead to satisfactory recognition performance for a speech
recognizer. In acoustic modeling of phonetic unit, context information is of prime importance as the phonemes are
found to vary according to the place of occurrence in a word. In this paper we compare and evaluate the effect of
context dependent tied (CD tied) models, context dependent (CD) and context independent (CI) models in the
perspective of continuous speech recognition of Malayalam language. The database for the speech recognition
system has utterance from 21 speakers including 11 female and 10 males. Our evaluation results show that CD tied
models outperforms CI models over 21%.