Search Results - "Mulimani, Manjunath"
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Segmentation and characterization of acoustic event spectrograms using singular value decomposition
Published in Expert systems with applications (15-04-2019)“…•Acoustic event spectrograms are segmented using left singular vector.•Segmented acoustic event spectrograms are characterized.•Robustness of the proposed…”
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Journal Article -
2
ComposeInStyle: Music composition with and without Style Transfer
Published in Expert systems with applications (01-04-2022)“…Every music composition has a composer at the core of its building block, molding it into a style of their own. The creative compositional style of a composer…”
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3
Class-Incremental Learning for Multi-Label Audio Classification
Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (14-04-2024)“…In this paper, we propose a method for class-incremental learning of potentially overlapping sounds for solving a sequence of multi-label audio classification…”
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Conference Proceeding -
4
Robust Acoustic Event Classification using Fusion Fisher Vector features
Published in Applied acoustics (01-12-2019)“…•Novel Fusion Fisher Vector Features are proposed for Acoustic Event Classification.•Robustness of the proposed features is evaluated in noisy…”
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Extraction of MapReduce-based features from spectrograms for audio-based surveillance
Published in Digital signal processing (01-04-2019)“…In this paper, we proposed a novel parallel method for extraction of significant information from spectrograms using MapReduce programming model for the…”
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6
Acoustic Scene Classification using Deep Fisher network
Published in Digital signal processing (01-07-2023)“…Acoustic Scene Classification (ASC) is the task of assigning a semantic label to an audio recording, based on the surrounding environment. In this work, a…”
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7
Detection of COVID-19 from X-rays using hybrid deep learning models
Published in Research on biomedical engineering (01-12-2021)“…Purpose To propose a model that can detect the presence of Covid-19 from chest X-rays and can be used with low hardware resource-based personal digital…”
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Acoustic scene classification using projection Kervolutional neural network
Published in Multimedia tools and applications (01-03-2023)“…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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Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
Published in 2024 32nd European Signal Processing Conference (EUSIPCO) (26-08-2024)“…In this paper, we propose a method for online domain-incremental learning of acoustic scene classification from a sequence of different locations. Simply…”
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Conference Proceeding -
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Polyphonic Sound Event Detection Using Transposed Convolutional Recurrent Neural Network
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2020)“…In this paper we propose a Transposed Convolutional Recurrent Neural Network (TCRNN) architecture for polyphonic sound event recognition. Transposed…”
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Conference Proceeding -
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Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
Published 19-06-2024“…In this paper, we propose a method for online domain-incremental learning of acoustic scene classification from a sequence of different locations. Simply…”
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Journal Article -
12
A Deep Neural Network-Driven Feature Learning Method for Polyphonic Acoustic Event Detection from Real-Life Recordings
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2020)“…In this paper, a Deep Neural Network (DNN)-driven feature learning method for polyphonic Acoustic Event Detection (AED) is proposed. The proposed DNN is a…”
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Conference Proceeding -
13
Class-Incremental Learning for Multi-Label Audio Classification
Published 09-01-2024“…In this paper, we propose a method for class-incremental learning of potentially overlapping sounds for solving a sequence of multi-label audio classification…”
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Journal Article -
14
Incremental Learning of Acoustic Scenes and Sound Events
Published 28-02-2023“…In this paper, we propose a method for incremental learning of two distinct tasks over time: acoustic scene classification (ASC) and audio tagging (AT). We use…”
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15
Acoustic Scene Classification using Fusion of Features and Random Forest Classifier
Published in 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (23-03-2022)“…This paper proposes a model for the task of Acoustic Scene Classification. The proposed model utilizes convolutional neural networks and a random forest…”
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Conference Proceeding -
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Acoustic Event Classification Using Spectrogram Features
Published in TENCON 2018 - 2018 IEEE Region 10 Conference (01-10-2018)“…This paper investigates a new feature extraction method to extract different features from the spectrogram of an audio signal for Acoustic Event Classification…”
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Conference Proceeding -
17
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset
Published 01-11-2021“…Sound event detection (SED) in machine listening entails identifying the different sounds in an audio file and identifying the start and end time of a…”
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18
Acoustic Scene Classification using Deep Learning Architectures
Published in 2021 6th International Conference for Convergence in Technology (I2CT) (02-04-2021)“…Enabling devices to make sense of sound is known as Acoustic Scene Classification (ASC). The analysis of various scenes by applying computational algorithms is…”
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Conference Proceeding -
19
Currency recognition system using image processing
Published in 2017 Tenth International Conference on Contemporary Computing (IC3) (01-08-2017)“…In this paper, we propose a system for automated currency recognition using image processing techniques. The proposed method can be used for recognizing both…”
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20
Acoustic event classification using graph signals
Published in TENCON 2017 - 2017 IEEE Region 10 Conference (01-11-2017)“…In this paper, a graph signal is generated from spectrogram and features are investigated from graph signal for Acoustic Event Classification (AEC). Different…”
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Conference Proceeding