Panns: Large-scale pretrained audio neural networks for audio pattern recognition
Audio pattern recognition is an important research topic in the machine learning area, and
includes several tasks such as audio tagging, acoustic scene classification, music …
includes several tasks such as audio tagging, acoustic scene classification, music …
[HTML][HTML] A survey of sound source localization with deep learning methods
This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …
localization, with a focus on sound source localization in indoor environments, where …
Overview and evaluation of sound event localization and detection in DCASE 2019
Sound event localization and detection is a novel area of research that emerged from the
combined interest of analyzing the acoustic scene in terms of the spatial and temporal …
combined interest of analyzing the acoustic scene in terms of the spatial and temporal …
A framework for the robust evaluation of sound event detection
This work defines a new framework for performance evaluation of polyphonic sound event
detection (SED) systems, which overcomes the limitations of the conventional collar-based …
detection (SED) systems, which overcomes the limitations of the conventional collar-based …
Sound event detection of weakly labelled data with cnn-transformer and automatic threshold optimization
Sound event detection (SED) is a task to detect sound events in an audio recording. One
challenge of the SED task is that many datasets such as the Detection and Classification of …
challenge of the SED task is that many datasets such as the Detection and Classification of …
Giantmidi-piano: A large-scale midi dataset for classical piano music
Polyphonic sound event detection and localization using a two-stage strategy
Sound event detection (SED) and localization refer to recognizing sound events and
estimating their spatial and temporal locations. Using neural networks has become the …
estimating their spatial and temporal locations. Using neural networks has become the …
Acoustic scene classification across cities and devices via feature disentanglement
Acoustic Scene Classification (ASC) is a task that classifies a scene according to
environmental acoustic signals. Audios collected from different cities and devices often …
environmental acoustic signals. Audios collected from different cities and devices often …