Isolated Digit Recognition Using MFCC AND DTW

This paper proposes an approach to recognize spoken English words corresponding to digits zero to nine in an isolated way by different male and female speakers. The endpoint detection, framing, normalization, Mel Frequency Cepstral Coefficient (MFCC) and DTW algorithm are used to process speech samples to accomplish the recognition. The algorithm is tested on speech samples.The system is then applied to recognition of isolated word English digits, that is ‘one’, 'two', 'three', 'four', 'five’, ‘six', 'seven', 'eight' and 'nine'. The algorithm is tested on speech samples that are recorded. The results show that the algorithm managed to recognize almost 90.5% oftheEnglish digits for all recorded words