537 citations · 1k across the 21 of their papers we have counts for
9 papers · 1 filter
Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network
Sharath Adavanne, Tuomas Virtanen
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 s…
A report on sound event detection with different binaural features
Sharath Adavanne, Tuomas Virtanen
In this paper, we compare the performance of using binaural audio features in place of single-channel features for sound event detection. Three different binaural features are stud…
Direction of arrival estimation for multiple sound sources using convolutional recurrent neural network
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
This paper proposes a deep neural network for estimating the directions of arrival (DOA) of multiple sound sources. The proposed stacked convolutional and recurrent neural network…
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features
Sharath Adavanne, Giambattista Parascandolo, Pasi Pertilä +2
In this paper, 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 detect…
Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition
Miroslav Malik, Sharath Adavanne, Konstantinos Drossos +3
This paper studies the emotion recognition from musical tracks in the 2-dimensional valence-arousal (V-A) emotional space. We propose a method based on convolutional (CNN) and recu…
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network
Sharath Adavanne, Pasi Pertilä, Tuomas Virtanen
This paper proposes to use low-level spatial features extracted from multichannel audio for sound event detection. We extend the convolutional recurrent neural network to handle mo…
Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection
Sharath Adavanne, Konstantinos Drossos, Emre Çakır +1
This paper studies the detection of bird calls in audio segments using stacked convolutional and recurrent neural networks. Data augmentation by blocks mixing and domain adaptation…
Automated Audio Captioning with Recurrent Neural Networks
Konstantinos Drossos, Sharath Adavanne, Tuomas Virtanen
We present the first approach to automated audio captioning. We employ an encoder-decoder scheme with an alignment model in between. The input to the encoder is a sequence of log m…
Convolutional Recurrent Neural Networks for Bird Audio Detection
EmreÇakır, Sharath Adavanne, Giambattista Parascandolo +2
Bird sounds possess distinctive spectral structure which may exhibit small shifts in spectrum depending on the bird species and environmental conditions. In this paper, we propose…