6 papers
Improved Monitoring of Honey bee Colony Strength via Audio IoT Sensors, Modulation Tensorgrams and Recurrent Neural Networks
Mahsa Abdollahi, Yi Zhu, Heitor R. Guimarães +4
Honey bees (Apis mellifera) play a crucial role in agriculture and ecosystem stability as key pollinators of crops and wild plants. As such, monitoring hive strength remotely with…
BioME: A Resource-Efficient Bioacoustic Foundational Model for IoT Applications
Heitor R. Guimarães, Abhishek Tiwari, Mahsa Abdollahi +2
Passive acoustic monitoring has become a key strategy in biodiversity assessment, conservation, and behavioral ecology, especially as Internet-of-Things (IoT) devices enable contin…
AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors
Yi Zhu, Heitor R. Guimarães, Arthur Pimentel +1
With the prevalence of artificial intelligence (AI)-generated content, such as audio deepfakes, a large body of recent work has focused on developing deepfake detection techniques.…
DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers
Heitor R. Guimarães, Jiaqi Su, Rithesh Kumar +2
Real-world speech recordings suffer from degradations such as background noise and reverberation. Speech enhancement aims to mitigate these issues by generating clean high-fidelity…
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model
Yi Zhu, Tiago Falk
Speech is known to carry health-related attributes, which has emerged as a novel venue for remote and long-term health monitoring. However, existing models are usually tailored for…
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset
Mahsa Abdollahi, Yi Zhu, Heitor R. Guimarães +4
In this paper, we present a multimodal dataset obtained from a honey bee colony in Montréal, Quebec, Canada, spanning the years of 2021 to 2022. This apiary comprised 10 beehives,…