Results 51 to 60 of about 3,240 (204)
, 2022 The log-Mel spectrogram of the waveform according to the selected dysarthria types (no evidence of dysarthria, hypokinetic dysarthria, and ataxic dysarthria) for each autumn and number protocol.
Jin Whan Cho (11592603) +13 more
core +1 more source
Autovocoder: fast waveform generation from a learned speech representation using differentiable digital signal processing [PDF]
, 2023 Most state-of-the-art Text-to-Speech systems use the mel-spectrogram as an intermediate representation, to decompose the task into acoustic modelling and waveform generation.
Webber, Jacob J., +9 more
core +1 more source
Theoretical and Applied Mechanics Letters, 2023 Wind turbine blades are prone to failure due to high tip speed, rain, dust and so on. A surface condition detecting approach based on wind turbine blade aerodynamic noise is proposed.
Weijun Zhu +5 more
doaj +1 more source
Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning
Applied SciencesAcoustic data inherently contain a variety of information, including indicators of abnormal symptoms. In this study, we propose a method for detecting abnormal symptoms by converting acoustic data into spectrogram representations and applying a deep ...
Seong-Yoon Kim +3 more
doaj +1 more source
A voiceprint pattern recognition method of smoothing reactor based on CNN
Zhejiang dianli, 2023 In order to accurately identify the operating condition of the smoothing reactor， a deep learning method based on CNN （convolutional neural network） is introduced.
HU Jingen +3 more
doaj +1 more source
Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing
CoRR, 2021 6 pages, 5 figures, 1 ...
Samayan Bhattacharya, Sk Shahnawaz
openaire +2 more sources
Is GAN Necessary for Mel-Spectrogram-Based Neural Vocoder?
IEEE Signal Processing LettersAccepted by IEEE Signal Processing ...
Hui-Peng Du +4 more
openaire +2 more sources
Non-Intrusive Air Traffic Control Speech Quality Assessment with ResNet-BiLSTM
Applied Sciences, 2023 In the current field of air traffic control speech, there is a lack of effective objective speech quality evaluation methods. This paper proposes a new network framework based on ResNet–BiLSTM to address this issue.
Yuezhou Wu, Guimin Li, Qiang Fu
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source