Results 61 to 70 of about 8,338,200 (223)

A Mel-weighted Spectrogram Feature Extraction for Improved Speaker Recognition System

, 2022
Speaker recognition system is intended to recognize a person’s identity. This task can be done by knowing the feature of the contained voice signals. The feature can be extracted using a feature extraction technique.
Astuti, Yenni, Bejo, Agus, Hidayat, Risanuri   +2 more
core   +1 more source

Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification

Sensors, 2022
In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions.
Ammar Ahmed, Youssef Serrestou, Kosai Raoof, Jean-François Diouris   +3 more
doaj   +1 more source

Encoder-guided conditional CNN-WGAN-GP for emotion-controlled speech synthesis with neural vocoder reconstruction and objective quality evaluation

Array
Emotion-conditioned Mel-spectrogram generation plays an important role in expressive human–computer interaction systems. However, generating structurally coherent and emotionally consistent Mel-spectrograms remains a challenging task due to training ...
Dharmaiah Devarapalli, Koduri Abhiram, Chandu Venkata Sai Phani Gopi, Shaik Jaffer Sadiq, Swathi Kailasam, Narasimha Swamy Lavudiya   +5 more
doaj   +1 more source

Mel-spectrogram augmentation for sequence to sequence voice conversion

CoRR, 2020
For training the sequence-to-sequence voice conversion model, we need to handle an issue of insufficient data about the number of speech pairs which consist of the same utterance. This study experimentally investigated the effects of Mel-spectrogram augmentation on training the sequence-to-sequence voice conversion (VC) model from scratch.
Hwang, Yeongtae, Cho, Hyemin, Yang, Hongsun, Won, Dong-Ok, Oh, Insoo, Lee, Seong-Whan   +5 more
openaire   +2 more sources

A Novel Voiceprint Using Ensembled Mel-Chromagram for Speaker Recognition [PDF]

, 2022
This research paper proposes a novel voiceprint generation methodology for recognizing the speakers registered in a system. The proposed methodology is a keyword-dependent closed set speaker classification task.
Banuroopa, K. (K), Priyaa, D. S. (D)
core   +2 more sources

A method of convolutional neural network based on frequency segmentation for monitoring the state of wind turbine blades

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, Yunan Wu, Zhenye Sun, Wenzhong Shen, Guangxing Guo, Jianwei Lin   +5 more
doaj   +1 more source

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

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, SHI Minglei, JIAO Chenhua, SHEN Zhengyuan   +3 more
doaj   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source

Fault Diagnosis of Wind Turbine Gearbox Based on Mel Spectrogram and Improved ResNeXt50 Model

Applied Sciences
In response to the problem of complex and variable loads on wind turbine gearbox bearing in working conditions, as well as the limited amount of sound data making fault identification difficult, this study focuses on sound signals and proposes an ...
Xiaojuan Zhang, Feixiang Jia, Ya-Yu Chen
semanticscholar   +1 more source