Shashidhar G. Koolagudi — accepted AI-conference papers

2020

A Deep Neural Network-Driven Feature Learning Method for Polyphonic Acoustic Event Detection from Real-Life Recordings

Manjunath Mulimani, Akash B. Kademani, Shashidhar G. Koolagudi

ICASSP 2020accepted

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 combination of different layers used to characterize multiple overlapped acoustic events in the mixture. During training, DNN is able to learn th…

Cited by 0 Source ↗Scholar ↗

2020

Polyphonic Sound Event Detection Using Transposed Convolutional Recurrent Neural Network

Chandra Churh Chatterjee, Manjunath Mulimani, Shashidhar G. Koolagudi

ICASSP 2020accepted

In this paper we propose a Transposed Convolutional Recurrent Neural Network (TCRNN) architecture for polyphonic sound event recognition. Transposed convolution layer, which caries out a regular convolution operation but reverts the spatial transformation and it is combined with a bidirectional Recu…

Cited by 0 Source ↗Scholar ↗