Review of wireless acoustic sensor networks for environmental noise monitoring in smart cities
F Alías, RM Alsina-Pagès - Journal of sensors, 2019 - Wiley Online Library
Nowadays, more than half of the world's population lives in urban areas. Since this
proportion is expected to keep rising, the sustainable development of cities is of paramount …
proportion is expected to keep rising, the sustainable development of cities is of paramount …
A survey on privacy issues and solutions for Voice-controlled Digital Assistants
LH Acosta, D Reinhardt - Pervasive and Mobile Computing, 2022 - Elsevier
With the development and increasing deployment of smart home devices, voice control
supports comfortable end user interactions. However, potential end users may refuse to use …
supports comfortable end user interactions. However, potential end users may refuse to use …
Fsd50k: an open dataset of human-labeled sound events
Most existing datasets for sound event recognition (SER) are relatively small and/or domain-
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
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 …
Listen, think, and understand
The ability of artificial intelligence (AI) systems to perceive and comprehend audio signals is
crucial for many applications. Although significant progress has been made in this area …
crucial for many applications. Although significant progress has been made in this area …
[HTML][HTML] Machine learning in acoustics: Theory and applications
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …
communications to ocean and Earth science. We survey the recent advances and …
Sound event localization and detection of overlapping sources using convolutional recurrent neural networks
In this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlapping sound events in three-dimensional …
localization and detection (SELD) of multiple overlapping sound events in three-dimensional …
Psla: Improving audio tagging with pretraining, sampling, labeling, and aggregation
Audio tagging is an active research area and has a wide range of applications. Since the
release of AudioSet, great progress has been made in advancing model performance, which …
release of AudioSet, great progress has been made in advancing model performance, which …
The sound of pixels
We introduce PixelPlayer, a system that, by leveraging large amounts of unlabeled videos,
learns to locate image regions which produce sounds and separate the input sounds into a …
learns to locate image regions which produce sounds and separate the input sounds into a …
Audiocaps: Generating captions for audios in the wild
We explore the problem of Audio Captioning: generating natural language description for
any kind of audio in the wild, which has been surprisingly unexplored in previous research …
any kind of audio in the wild, which has been surprisingly unexplored in previous research …