Sri Krishnan – författare

Audio Signal Processing: Advanced Analysis and Machine Learning Applications covers the basics of audio signal processing and analysis from sensing, acquisition, digitization, filtering, denoising, modeling, feature analysis, machine learning, and pattern recognition/decision-making. The book provides practical examples, illustrations, lab exercises, and mini projects to enhance the learning experience. Audio is a fundamental modality of data that has immense utility and need in human communication, digital transmission, pattern discovery, ecological understanding, healthcare, and many more. Thus, advancements in sensor technology, signal processing, and machine learning have led to audio as an asset in many vertical applications.Provides comprehensive coverage of audio signal analysisOffers problem sets and laboratory exercises that cover a wide range of audio signals, models, and algorithmsEnables foundational knowledge that can translate into other domains of signal processing

This Edited Volumecontains a selection of refereed and revised papers originally presented at thesecond International Symposium on Signal Processing and Intelligent RecognitionSystems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The programcommittee received 175 submissions. Each paper was peer reviewed by at leastthree or more independent referees of the program committee and the 59 paperswere finally selected. The papers offer stimulating insights into biometrics, digital watermarking,recognition systems, image and video processing, signal and speech processing,pattern recognition, machine learning and knowledge-based systems. The book isdirected to the researchers and scientists engaged in various field of signalprocessing and related areas.

This Edited Volume gathers a selection of refereed and revised papers originally presented at the Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS’17), held on September 13–16, 2017 in Manipal, India. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. Taken together, they offer a valuable resource for all researchers and scientists engaged in the various fields of signal processing and related areas.

This book constitutes the refereed proceedings of the 4th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2018, held in Bangalore, India, in September 2018. The 28 revised full papers and 11 revised short papers presented were carefully reviewed and selected from 92 submissions.

This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions.