Mohammed Zakariah, Yousef Ajami Alotaibi, Deepika Koundal, Yanhui Guo et al.
Sign language is essential for deaf and mute people to communicate with normal people and themselves. As ordinary people tend to ignore the importance of sign language, which is the mere source of communication for the deaf and the mute communities. These people are facing significant downfalls in t...
Ghulam Muhammad, Yousef Ajami Alotaibi, Mohammad Nurul Huda
In this paper, we introduce a system for Bangla digit automatic speech recognition (ASR). Though Bangla is one of the largely spoken languages in the world, only a few works on Bangla ASR can be found in the literature, especially on Bangladeshi accented Bangla. In this work, the corpus is collected...
Ghulam Muhammad, Yousef Ajami Alotaibi, Mansour Alsulaiman, Mohammad Nurul Huda
In this paper, we propose a system for environment recognition using selected MPEG-7 audio low level descriptors together with conventional mel-frequency cepstral coefficients (MFCC). The MPEG-7 descriptors are first ranked based on Fisher's discriminant ratio. Then principal component analysis is a...
Mohammed Rokibul Alam Kotwal, Manoj Banik, Qamrun Nahar Eity, Mohammad Nurul Huda et al.
This paper presents a Bangla phoneme recognition method for Automatic Speech Recognition (ASR). The method consists of two stages: i) a multilayer neural network (MLN), which converts acoustic features, mel frequency cepstral coefficients (MFCCs), into phoneme probabilities and ii) the phoneme proba...
Ghulam Muhammad, Yousef Ajami Alotaibi, Mohammad Nurul Huda
In this paper, we introduce a systemfor Bangia digit automatic speech recognition (ASR). Though Bangia is one ofthe largely spoken languages in the world, only a few works on Bangia ASR can befound in the literature, especially on Bangladeshi accented Bangia. In this work, the corpus is collected fr...