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Found 7 papers, 3 papers with code
Synthesizing Soundscapes: Leveraging Text-to-Audio Models for Environmental Sound Classification
This study analyzes the performance of two different environmental classification systems when data generated from text-to-audio models is used for training.
Room Transfer Function Reconstruction Using Complex-valued Neural Networks and Irregularly Distributed Microphones
Reconstructing the room transfer functions needed to calculate the complex sound field in a room has several impor- tant real-world applications.
Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems
In recent years, deep learning systems have shown a concerning trend toward increased complexity and higher energy consumption.
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system
The aim of the Detection and Classification of Acoustic Scenes and Events Challenge Task 4 is to evaluate systems for the detection of sound events in domestic environments using an heterogeneous dataset.
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes
A last experiment is proposed in order to study the impact of non-target events on systems outputs.
The impact of non-target events in synthetic soundscapes for sound event detection
Detection and Classification Acoustic Scene and Events Challenge 2021 Task 4 uses a heterogeneous dataset that includes both recorded and synthetic soundscapes.
Sound event localization and detection based on crnn using rectangular filters and channel rotation data augmentation
In the last years, neural networks have become the prevailing method for sound Event Localization and Detection task, with convolutional recurrent neural networks being among the most used systems.
Audio and Speech Processing Sound
