By Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty
Advanced Computing, Networking and Informatics are 3 unique and jointly specific disciplines of information without obvious sharing/overlap between them. despite the fact that, their convergence is saw in lots of actual international functions, together with cyber-security, web banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume lawsuits discover the mixed use of complicated Computing and Informatics within the subsequent new release instant networks and defense, sign and snapshot processing, ontology and human-computer interfaces (HCI). the 2 volumes jointly comprise 148 scholarly papers, that have been approved for presentation from over 640 submissions within the second overseas convention on complicated Computing, Networking and Informatics, 2014, held in Kolkata, India in the course of June 24-26, 2014. the 1st quantity contains cutting edge computing innovations and appropriate learn ends up in informatics with selective functions in development reputation, signal/image processing and HCI. the second one quantity nonetheless demonstrates the prospective scope of the computing innovations and informatics in instant communications, networking and security.
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Extra info for Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014)
Segmentation of TV broadcast news using speaker speciﬁc information. In: NCC 2012, pp. 1–5 (2012) 14. : Wavelet-based Indexing of Audio Data in Audio/Multimedia Databases. In: Proceedings of MultiMedia Database Management Systems (1998) An Improved Filtered-x Least Mean Square Algorithm for Acoustic Noise Suppression Asutosh Kar1, Ambika Prasad Chanda1, Sarthak Mohapatra1, and Mahesh Chandra2 1 Department. in Abstract. In the modern age scenario noise reduction is a major issue, as noise is responsible for creating disturbances in day-to-day communication.
In this paper, a speech document indexing system and similarity-based document retrieval method has been proposed. K -d tree is used as the index structure and codebooks derived from speech documents present in the database, are used during retrieval of desired document. Each document is represented as a sequence of codebook indices. The longest common subsequence based approach is proposed for retrieving the documents. Proposed retrieval method is evaluated using a speech database of 3 hours recorded by a male speaker and speech queries from 5 male and 5 female speakers.
In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, pp. II/253–II/256 (1994) A Unique Low Complexity Parameter Independent Adaptive Design for Echo Reduction Pranab Das1, Abhishek Deb1, Asutosh Kar1, and Mahesh Chandra2 1 Department. in Abstract. Acoustic echo is one of the most important issues in full duplex communication. The original speech signal is distorted due to echo. For this adaptive filtering is used for echo suppression.
Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014) by Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty