Search Results - "Koolagudi, Shashidhar G."

Segmentation and characterization of acoustic event spectrograms using singular value decomposition by Mulimani, Manjunath, Koolagudi, Shashidhar G.

“…•Acoustic event spectrograms are segmented using left singular vector.•Segmented acoustic event spectrograms are characterized.•Robustness of the proposed…”
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A Fully-Automated Framework for Mineral Identification on Martian Surface Using Supervised Learning Models by Kumari, Priyanka, Soor, Sampriti, Shetty, Amba, Koolagudi, Shashidhar G

“…The availability of various spectral libraries for CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) data on NASA PDS (Planetary Data System) hugely…”
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InDS: Intelligent DRL Strategy for Effective Virtual Network Embedding of an Online Virtual Network Requests by Kumar, T. G. Keerthan, Addya, Sourav Kanti, Koolagudi, Shashidhar G.

“…Network virtualization is a demanding feature in the evolution of future Internet architectures. It enables on-demand virtualized resource provision for…”
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Emotion recognition from speech using global and local prosodic features by Rao, K. Sreenivasa, Koolagudi, Shashidhar G., Vempada, Ramu Reddy

“…In this paper, global and local prosodic features extracted from sentence, word and syllables are proposed for speech emotion or affect recognition. In this…”
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Scalable and fair forwarding of elephant and mice traffic in software defined networks by Hegde, Saumya, Koolagudi, Shashidhar G., Bhattacharya, Swapan

“…A software defined network decouples the control and data planes of the networking devices and places the control plane of all the switches in a central…”
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A Deep Ensemble Learning-based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images by Rahil, Mohammad, Anoop, B N, Girish, G N, Kothari, Abhishek R., Koolagudi, Shashidhar G, Rajan, Jeny

“…Retinal Fluids (fluid collections) develop because of the accumulation of fluid in the retina, which may be caused by several retinal disorders, and can lead…”
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Singer identification for Indian singers using convolutional neural networks by Srinivasa Murthy, Y. V., Koolagudi, Shashidhar G., Jeshventh Raja, T. K.

“…Singer identification is one of the important aspects of music information retrieval (MIR). In this work, traditional feature-based and trending convolutional…”
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Emotion recognition from speech using source, system, and prosodic features by Koolagudi, Shashidhar G., Rao, K. Sreenivasa

“…In this work, source, system, and prosodic features of speech are explored for characterizing and classifying the underlying emotions. Different speech…”
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Bi-level Acoustic Scene Classification Using Lightweight Deep Learning Model by Spoorthy, Venkatesh, Koolagudi, Shashidhar G.

“…Identifying a scene based on the environment in which the related audio is recorded is known as acoustic scene classification (ASC). In this paper, a bi-level…”
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Prediction model for peninsular Indian summer monsoon rainfall using data mining and statistical approaches by Vathsala, H., Koolagudi, Shashidhar G.

“…In this paper we discuss a data mining application for predicting peninsular Indian summer monsoon rainfall, and propose an algorithm that combine data mining…”
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Acoustic scene classification using projection Kervolutional neural network by Mulimani, Manjunath, Nandi, Ritika, Koolagudi, Shashidhar G

“…In this paper, a novel Projection Kervolutional Neural Network (ProKNN) is proposed for Acoustic Scene Classification (ASC). ProKNN is a combination of two…”
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Emotion recognition from speech: a review by Koolagudi, Shashidhar G., Rao, K. Sreenivasa

“…Emotion recognition from speech has emerged as an important research area in the recent past. In this regard, review of existing work on emotional speech…”
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Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features by Koolagudi, Shashidhar G., Krothapalli, Sreenivasa Rao

“…In this work, spectral features extracted from sub-syllabic regions and pitch synchronous analysis are proposed for speech emotion recognition. Linear…”
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Phoneme boundary detection from speech: A rule based approach by Ramteke, Pravin Bhaskar, Koolagudi, Shashidhar G.

“…•For phoneme boundaries, signal level properties of speech waveform during transition from one phoneme to other are explored.•It involves 1. Segmentation of…”
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Neural network based feature transformation for emotion independent speaker identification by Krothapalli, Sreenivasa Rao, Yadav, Jaynath, Sarkar, Sourjya, Koolagudi, Shashidhar G., Vuppala, Anil Kumar

“…In this paper we are proposing neural network based feature transformation framework for developing emotion independent speaker identification system. Most of…”
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Automatic diagnosis of COVID-19 related respiratory diseases from speech by Shekhar, Kushan, Chittaragi, Nagaratna B., Koolagudi, Shashidhar G.

“…In this work, an attempt is made to propose an intelligent and automatic system to recognize COVID-19 related illnesses from mere speech samples by using…”
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Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS) by Srinivasa Murthy, Y.V., Koolagudi, Shashidhar G.

“…•A novel set of features based on the formant structure has been proposed.•Evolutionary based feature selection has been proposed to obtain optimal feature…”
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Long-range prediction of Indian summer monsoon rainfall using data mining and statistical approaches by H, Vathsala, Koolagudi, Shashidhar G.

“…This paper presents a hybrid model to better predict Indian summer monsoon rainfall. The algorithm considers suitable techniques for processing dense datasets…”
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Profile generation from web sources: an information extraction system by Ranjan, Rishabh, Vathsala, H., Koolagudi, Shashidhar G.

“…The Internet space has a vast collection of information which is not always structured. These sources of information such as social media, news articles,…”
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Automatic dialect identification system for Kannada language using single and ensemble SVM algorithms by Chittaragi, Nagaratna B., Koolagudi, Shashidhar G.

“…In this paper, an automatic dialect identification (ADI) system is proposed by extracting spectral and prosodic features for Kannada language. A new dialect…”
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