Word recognition system based on Mel-frequency cepstral coefficient (MFCC), and Distance
Time Warping (DTW) as features. For the extraction of the feature, Marathi speech database …

This paper describes an approach of isolated speech recognition by using the Mel-Scale
Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several …

This Paper presents Marathi database and isolated word recognition system using Mel-
frequency cepstrum coefficients (MFCC) and vector quantization (VQ) technique. It also …

This study proposes limited vocabulary isolated word recognition using Linear Predictive
Coding (LPC) and Mel Frequency Cepstral Coefficients (MFCC) for feature extraction …

Despite the fact that Arabic language is currently one of the most common languages
worldwide, there has been only a little research on Arabic speech recognition relative to …

Tamil is one of the ancient languages in the world, spoken by 74 million people spread
around the world. Tamil is the official language in states like Tamilnadu and countries like …

This paper presents the work on Automatic Speech Recognition of Urdu language, using a
comparative analysis for Discrete Wavelets Transform (DWT) based features and Mel …

Voice Recognition is often confused with Voice and speech Recognition, which is the
translation of spoken words (voice and speech) into text. But the identification of" who" is …

Technology is all around us and it's changing rapidly, expanding Internet access has had
huge impacts on everyday lives as people do everything on their phones and computers …

This paper presents a technique for recognizing spoken letter in Bengali Language. We first
derive feature from spoken letter. Mel-frequency cepstral coefficient (MFCC) has been used …