Results 71 to 80 of about 7,229,432 (222)

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

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

On the Effect of Log-Mel Spectrogram Parameter Tuning for Deep Learning-Based Speech Emotion Recognition

IEEE Access, 2023
Speech emotion recognition (SER) has become a major area of investigation in human-computer interaction. Conventionally, SER is formulated as a classification problem that follows a common methodology: (i) extracting features from speech signals; and (ii)
Azamat Mukhamediya, S. Fazli, A. Zollanvari   +2 more
semanticscholar   +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

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Signal Reconstruction from Mel-spectrogram Based on Bi-level Consistency of Full-band Magnitude and Phase

, 2023
We propose an optimization-based method for reconstructing a time-domain signal from a low-dimensional spectral representation such as a mel-spectrogram.
Ono, Nobutaka, Masuyama, Yoshiki, Ueno, Natsuki   +2 more
core   +1 more source

A Machine Learning-Based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficients [PDF]

, 2022
This paper proposes a machine learning-based architecture for audio signals classification based on a joint exploitation of the Chebychev moments and the Mel-Frequency Cepstrum Coefficients.
Pallotta L., Neri M., Buongiorno M., Neri A., Giunta G.   +4 more
core   +1 more source