Results 21 to 30 of about 313,816 (278)
Context-dependent sound event detection [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2013 The work presented in this article studies how the context information can be used in the automatic sound event detection process, and how the detection system can benefit from such information. Humans are using context information to make more accurate predictions about the sound events and ruling out unlikely events given the context.
Heittola, Toni +3 more
openaire +2 more sources
Smart sound monitoring for sound event detection and characterization [PDF]
, 2014 Botteldooren, Dick, De Coensel, Bert
core +3 more sources
Improved capsule routing for weakly labeled sound event detection
EURASIP Journal on Audio, Speech, and Music Processing, 2022 Polyphonic sound event detection aims to detect the types of sound events that occur in given audio clips, and their onset and offset times, in which multiple sound events may occur simultaneously. Deep learning–based methods such as convolutional neural
Haitao Li, Shuguo Yang, Wenwu Wang
doaj +1 more source
Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection
, 2021 Sound event detection (SED) has gained increasing attention with its wide application in surveillance, video indexing, etc. Existing models in SED mainly generate frame-level prediction, converting it into a sequence multi-label classification problem. A critical issue with the frame-based model is that it pursues the best frame-level prediction rather
Ye, Zhirong +6 more
openaire +2 more sources
Active Learning for Sound Event Detection [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020 This paper proposes an active learning system for sound event detection (SED). It aims at maximizing the accuracy of a learned SED model with limited annotation effort. The proposed system analyzes an initially unlabeled audio dataset, from which it selects sound segments for manual annotation.
Zhao Shuyang +2 more
openaire +2 more sources
Towards Duration Robust Weakly Supervised Sound Event Detection [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021 Sound event detection (SED) is the task of tagging the absence or presence of audio events and their corresponding interval within a given audio clip. While SED can be done using supervised machine learning, where training data is fully labeled with access to per event timestamps and duration, our work focuses on weakly-supervised sound event detection
Heinrich Dinkel, Mengyue Wu, Kai Yu
openaire +2 more sources
Sound Event Detection System Based on VGGSKCCT Model Architecture with Knowledge Distillation
Applied Artificial Intelligence, 2023 Sound event detection involves detecting acoustic events of multiple classes in audio recordings, along with the times of occurrence. Detection and Classification of Acoustic Scenes and Events (DCASE) Task 4 for sound event detection in domestic ...
Sung-Jen Huang +2 more
doaj +1 more source
Incremental Learning Algorithm For Sound Event Detection
2020 IEEE International Conference on Multimedia and Expo (ICME), 2020 This paper presents a new learning strategy for the Sound Event Detection (SED) system to tackle the issues of i) knowledge migration from a pre-trained model to a new target model and ii) learning new sound events without forgetting the previously learned ones without re-training from scratch.
Koh, Eunjeong +4 more
openaire +2 more sources
IEEE Access, 2023 A Multi-Channel Stethograph System (STG system) was designed and developed as an electronic auscultation system for recording heart, lung, and trachea sounds non-invasively through an acoustic sensor array. The STG system consists of 16 acoustic sensors,
Xingzhe Zhang +4 more
doaj +1 more source
Visual Object Detector for Cow Sound Event Detection
IEEE Access, 2020 Sound event detection (SED) is a reasonable choice in a number of application domains including cattle sheds, dense forests, or any dark environments where visual objects are usually concealed or invisible.
Yagya Raj Pandeya +2 more
doaj +1 more source