Isolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov Models

Robust Speech Recognition Using Fusion Techniques and Adaptive Filtering

The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is...

Combined LPC and MFCC Features based technique for Isolated Speech Recognition

The aim of speech recognition is to convert speech signal into a corresponding sequence of text. It is important to obtain the highest possible recognition rate without increasing the complexity of the system for cost-effective and reliable consumer applications. In this paper, main tasks involved in isolated speech recognition viz., pre-processing, feature extraction, pattern matching and thei...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Isolated Words Recognition System Based on Hybrid Approach DTW/GHMM

In this paper, we present a new hybrid approach for isolated spoken word recognition using Hidden Markov Model models (HMM) combined with Dynamic time warping (DTW). HMM have been shown to be robust in spoken recognition systems. We propose to extend the HMM method by combining it with the DTW algorithm in order to combine the advantages of these two powerful pattern recognition technique. In t...