45 citations · 195 across the 44 of their papers we have counts for
8 papers · 1 filter
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation
Shayan Gharib, Konstantinos Drossos, Eemi Fagerlund +1
The performance of sound event detection methods can significantly degrade when they are used in unseen conditions (e.g. recording devices, ambient noise). Domain adaptation is a p…
Sound event detection via dilated convolutional recurrent neural networks
Yanxiong Li, Mingle Liu, Konstantinos Drossos +1
Convolutional recurrent neural networks (CRNNs) have achieved state-of-the-art performance for sound event detection (SED). In this paper, we propose to use a dilated CRNN, namely…
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters
Niccoló Nicodemo, Gaurav Naithani, Konstantinos Drossos +2
Effective employment of deep neural networks (DNNs) in mobile devices and embedded systems is hampered by requirements for memory and computational power. This paper presents a non…
Clotho: An Audio Captioning Dataset
Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen
Audio captioning is the novel task of general audio content description using free text. It is an intermodal translation task (not speech-to-text), where a system accepts as an inp…
Crowdsourcing a Dataset of Audio Captions
Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen
Audio captioning is a novel field of multi-modal translation and it is the task of creating a textual description of the content of an audio signal (e.g. "people talking in a big r…
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
Konstantinos Drossos, Shayan Gharib, Paul Magron +1
A sound event detection (SED) method typically takes as an input a sequence of audio frames and predicts the activities of sound events in each frame. In real-life recordings, the…