This paper presents a voiced/unvoiced classification algorithm of the noisy speech signal by analyzing two acoustic features of the speech signal. Short-time energy and short-time zero- crossing rates are one of the most distinguishable time domain features of a speech signal to classify its voiced activity into voiced/unvoiced segment. A new idea is developed where … Continue reading "A Method for Voiced/Unvoiced Classification of Noisy Speech by Analyzing Time-Domain Features of Spectrogram Image"
View DetailsMd. Mijanur Rahman, Tanjarul Islam Mishu, Md. Saiful Islam and Md. Shoaib Akanda. “Implement Fingerprint Authentication for Employee Automation System”, Int. J. of Innov. Research in Info. Secu. (IJIRIS), 2017, 4(9):5-12.
View DetailsMd. Mijanur Rahman, Sifat Nur Rahman, Mahbubur Rahman, Firoz Haider. “Biometric Student Registration and Verification System”, 2016, Discovery, 52(252):2399-2409.
View DetailsDas Subrata Kumar, Roy Saumendu, Sarker Debbroto and Rahman Md Mijanur. “Energy Efficiency Failure Recovery with Concurrent Execution in Hadoop Cluster”, Int. J. of Applied. Research on Information Technology and Computing, 2016, 7(1):8-14.
View DetailsTania Akter Setu and Md. Mijanur Rahman. “Human Face Detection and Segmentation of Facial Feature Region”, Global J. of Computer Science and Technology, 2016, 16(1):1-8.
View DetailsTania Akter Setu and Md. Mijanur Rahman, “Human Face Classification using Genetic Algorithm”, International Journal of Advanced Computer Science and Applications (IJACSA), 7(9), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070944. Thomson Reuters indexing. England.
View DetailsMd. Ashraful Kadir and Md. Mijanur Rahman. “Bangla speech sentence recognition using hidden Markov models”, Intl. J. of Multidisciplinary Research and Development, 2016, 3(7):122-127.
View DetailsThis study proposed an enhanced time-frequency representation of audio signal using EMD-2TEMD based approach. To analyze non-stationary signal like audio, time-frequency representation is an important aspect. In case of representing or analyzing such kind of signal in time-frequency-energy distribution, hilbert spectrum is a recent approach and popular way which has several advantages over other methods … Continue reading "An Improvement in Representation of Audio Signal in Time-Frequency Plane using EMD-2TEMD Based Approach"
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