625 citations · 697 across the 7 of their papers we have counts for
7 papers
Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments
Pasi Pertilä, Emre Cakir, Aapo Hakala +4
Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assist…
Multi-task Regularization Based on Infrequent Classes for Audio Captioning
Emre Çakır, Konstantinos Drossos, Tuomas Virtanen
Audio captioning is a multi-modal task, focusing on using natural language for describing the contents of general audio. Most audio captioning methods are based on deep neural netw…
Unsupervised adversarial domain adaptation for acoustic scene classification
Shayan Gharib, Konstantinos Drossos, Emre Çakir +2
A general problem in acoustic scene classification task is the mismatched conditions between training and testing data, which significantly reduces the performance of the developed…
End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input
Emre Çakır, Tuomas Virtanen
Sound event detection systems typically consist of two stages: extracting hand-crafted features from the raw audio waveform, and learning a mapping between these features and the t…
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…
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…