Tapas Sangiri | West Bengal University Of Technology (original) (raw)

Tapas Sangiri

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Papers by Tapas Sangiri

Research paper thumbnail of Environmental Sound Classification

Research paper thumbnail of Vedic Swara Recognition System: A Move towards Vedic Chanting

Being one of the oldest among scriptures, Vedic scriptures are considered to be one of the riches... more Being one of the oldest among scriptures, Vedic scriptures are considered to be one of the richest creations of mankind. After much demolition and ruins, the Vedic Chanting techniques are still vast and tough to learn. In chanting a Vedic verse the notes used, known as the Swaras are strictly bound by rules. Mistake in implementing one Swara is considered a serious blunder in case of Vedic chanting. The motto of this work is to analyze a Vedic chant in order to get its Swaras and to check the accuracy of the chanting signals afterwards, whether their swara implementation is proper or not. Analyzing the complexity of the chanting signals, we have done the work in two phases using two separate techniques, Mel-Frequency Cepstral Coefficient and Wavelet Transformation. As Swara system is a vast field to study and analyze, this paper has only focused on the Yajurvedic verses that deals with four major swara chanting techniques. This work can be a great advancement in order to move oursel...

Research paper thumbnail of Environmental Natural Sound Detection And Classification Using Content-Based Retrieval ( CBR ) And MFCC

This paper deals with the extraction and classification of environmental natural sounds with the ... more This paper deals with the extraction and classification of environmental natural sounds with the help of content-based retrieval method. Environmental sounds are extremely unpredictable and are very much hard to classify and store in cluster forms according to its feature contents. Environmental sounds provide many contextual clues that enable us to recognize important aspects of our surroundings environment. This paper presented the techniques that allow computer system to extract and classify features from predefined classes of sounds in the

Research paper thumbnail of Environmental Sound Classification

Research paper thumbnail of Vedic Swara Recognition System: A Move towards Vedic Chanting

Being one of the oldest among scriptures, Vedic scriptures are considered to be one of the riches... more Being one of the oldest among scriptures, Vedic scriptures are considered to be one of the richest creations of mankind. After much demolition and ruins, the Vedic Chanting techniques are still vast and tough to learn. In chanting a Vedic verse the notes used, known as the Swaras are strictly bound by rules. Mistake in implementing one Swara is considered a serious blunder in case of Vedic chanting. The motto of this work is to analyze a Vedic chant in order to get its Swaras and to check the accuracy of the chanting signals afterwards, whether their swara implementation is proper or not. Analyzing the complexity of the chanting signals, we have done the work in two phases using two separate techniques, Mel-Frequency Cepstral Coefficient and Wavelet Transformation. As Swara system is a vast field to study and analyze, this paper has only focused on the Yajurvedic verses that deals with four major swara chanting techniques. This work can be a great advancement in order to move oursel...

Research paper thumbnail of Environmental Natural Sound Detection And Classification Using Content-Based Retrieval ( CBR ) And MFCC

This paper deals with the extraction and classification of environmental natural sounds with the ... more This paper deals with the extraction and classification of environmental natural sounds with the help of content-based retrieval method. Environmental sounds are extremely unpredictable and are very much hard to classify and store in cluster forms according to its feature contents. Environmental sounds provide many contextual clues that enable us to recognize important aspects of our surroundings environment. This paper presented the techniques that allow computer system to extract and classify features from predefined classes of sounds in the

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