Results 61 to 70 of about 3,240 (204)

Passive Acoustic Identification of Social Groups in the Hainan Gibbon

Remote Sensing in Ecology and Conservation, EarlyView.
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga, Emmanuel Dufourq, Nonhlanhla L. Luphade, Samuel T. Turvey, Heidi Ma, Susan M. Cheyne, Hui Liu, Jessica V. Bryant, Qing Chen, Wenyong Li, Zhiwei Liu, Zhaoli Zhou, Stefan Britz, Bubacarr Bah, Ian Durbach   +14 more
wiley   +1 more source

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu, Xuanyu Zhang, Xiandong Meng, Jian Zhang   +3 more
wiley   +1 more source

Respiratory Rate Estimation from Audio Using Object Detection with Learnable Spectrograms

Applied Sciences
Sound event detection models commonly rely on spectrogram representations of audio signals and recent approaches have adapted image-based object detection architectures to acoustic domains.
Bernhards Bertulis, Jevgenijs Telicko, Andris Jakovics   +2 more
doaj   +1 more source

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

Integrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang, Shipeng Hu, Hengrui Wang, Jizheng Yi, Guoxiong Zhou, Xiangyu Shen, Weixiong Peng, Zhishu Xiao, Aibin Chen   +8 more
wiley   +1 more source

Graph Embedding With Mel-Spectrograms for Underwater Acoustic Target Recognition

IEEE Journal of Oceanic Engineering
Underwater acoustic target recognition (UATR) is extremely challenging due to the complexity of ship-radiated noise and the variability of ocean environments. Although deep learning (DL) approaches have achieved promising results, most existing models implicitly assume that underwater acoustic data lie in a Euclidean space. This assumption, however, is
Sheng Feng, Shuqing Ma, Xiaoqian Zhu
openaire   +2 more sources

MixGAN-TTS: Efficient and Stable Speech Synthesis Based on Diffusion Model

IEEE Access, 2023
This paper describes MixGAN-TTS, an efficient and stable non-autoregressive speech synthesis based on diffusion model. The MixGAN-TTS uses a linguistic encoder based on soft phoneme-level alignment and hard word-level alignment approach which explicitly ...
Yan Deng, Ning Wu, Chengjun Qiu, Yangyang Luo, Yan Chen   +4 more
doaj   +1 more source

Harnessing edge computing and citizen science: A new prototype design for continental‐scale acoustic monitoring in Australia and beyond

Methods in Ecology and Evolution, EarlyView.
Abstract Inadequate monitoring of biodiversity is a characteristic of conservation the world over. The potential of acoustic monitoring is compelling, although the challenges remain substantial. Effective solutions require transdisciplinary collaboration among stakeholders, a focus on open‐source development, and flexible, multipronged technical ...
Andrea S. Griffin, Oliver Kelly, Eric Johns, Stephan Chalup, Alex Callen, Darren Southwell, Matt W. Hayward, Ysobel Sims   +7 more
wiley   +1 more source

Es-Tacotron2: Multi-Task Tacotron 2 with Pre-Trained Estimated Network for Reducing the Over-Smoothness Problem

Information, 2019
Text-to-speech synthesis is a computational technique for producing synthetic, human-like speech by a computer. In recent years, speech synthesis techniques have developed, and have been employed in many applications, such as automatic translation ...
Yifan Liu, Jin Zheng
doaj   +1 more source

An acoustic study on monophthongs in Central Australian Aboriginal English

World Englishes, EarlyView.
Abstract We present an acoustic analysis of monophthongal vowel production in Central Australian Aboriginal English (CAAE), providing one of the first systematic examinations of this variety spoken by English‐as‐a‐first‐language (L1) speakers in Mparntwe/Alice Springs, Australia.
Yizhou Wang, Carmel O'Shannessy, Vanessa Davis, Rikke Bundgaard‐Nielsen, Denise Foster   +4 more
wiley   +1 more source