Sharath Adavanne

Publications27
h-index14
Citations823
Highly Influential Citations102
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Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks
TLDR
In this paper, we propose a convolutional recurrent neural network for joint sound event localization and detection (SELD) of multiple overlapping sound events in three-dimensional space. Expand
Direction of Arrival Estimation for Multiple Sound Sources Using Convolutional Recurrent Neural Network
TLDR
This paper proposes a deep neural network for estimating the directions of arrival (DOA) of multiple sound sources with good precision and generate SPS with high signal-to-noise ratio. Expand
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features
TLDR
We propose the use of spatial and harmonic features in combination with long short term memory (LSTM) recurrent neural network (RNN) for automatic sound event detection (SED) task. Expand
Sound event detection using spatial features and convolutional recurrent neural network
TLDR
This paper proposes to use low-level spatial features extracted from multichannel audio for sound event detection. Expand
A report on sound event detection with different binaural features
TLDR
In this paper, we compare the performance of using binaural audio features in place of single-channel features for sound event detection. Expand
Convolutional recurrent neural networks for bird audio detection
TLDR
We propose using convolutional recurrent neural networks on the task of automated bird audio detection in real-life environments. Expand
A multi-room reverberant dataset for sound event localization and detection
TLDR
This paper presents the sound event localization and detection (SELD) task setup for the DCASE 2019 challenge using a convolutional recurrent neural network. Expand
A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection
TLDR
This report presents the dataset and the evaluation setup of the Sound Event Localization & Detection (SELD) task for the DCASE 2020 Challenge. Expand
Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network
TLDR
This paper proposes a neural network architecture and training scheme to learn the start and end time of sound events (strong labels) in an audio recording given just the list of sound event existing in the audio without time information (weak labels). Expand
Joint Measurement of Localization and Detection of Sound Events
TLDR
This paper proposes augmentation of the localization metrics with a condition related to the detection, and conversely, use of location information in calculating the true positives for detection. Expand
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