Results 81 to 90 of about 2,981,759 (215)

Leak Detection in Smart Water Networks Using Tailored Acoustic Features Under Complex Urban Environments

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Distributed wireless acoustic sensors, such as accelerometers, in smart water networks are increasingly used to detect leaks before they escalate into pipe breaks. In addition to leak‐induced signals, these sensors also capture acoustic noise generated by pumping and valve operations, pedestrians, traffic, and other environmental sources ...
Wei Zeng, Mark Stephens, Xiang Wang, Ruilin Liu, Martin Lambert, Nhu Do   +5 more
wiley   +1 more source

Newborns' Language Discrimination May Not Reflect Sensitivity to Speech Rhythm: Evidence From Computational Modeling

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Human newborns are able to discriminate between certain languages but not others. This ability has long been attributed to sensitivity to rhythm—the temporal regularities in speech of different languages. Here, we demonstrate through a series of computational simulations that this discrimination behavior can be achieved using no temporal ...
Ruolan Leslie Famularo, Ali Aboelata, Thomas Schatz, Naomi H. Feldman   +3 more
wiley   +1 more source

Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

Applied AI Letters, Volume 7, Issue 2, June 2026.
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka, Ciira wa Maina, Osman Büyük   +2 more
wiley   +1 more source

A Theoretically Consistent Method for Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features

, 2014
We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR).
Tan, Zheng-Hua; id_orcid, Jensen, Jesper, Zheng-Hua Tan, Jesper Jensen   +3 more
core   +1 more source

Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles

Applied Sciences, 2017
Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless.
Juan J. Noda, Carlos M. Travieso, David Sánchez-Rodríguez   +2 more
doaj   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods.
Sergio A. Falcón-López, Llanos Tobarra, Antonio Robles-Gómez, Rafael Pastor Vargas   +3 more
openaire   +2 more sources

Application of Music Data Visualization Technology in Music Appreciation Teaching

Engineering Reports, Volume 8, Issue 6, June 2026.
The simulation environment is used to simulate real‐world music appreciation scenarios. DL is employed to preprocess music data, extract features, and identify rhythm information, which is then associated with visual design parameters to construct a parametric model.
Xiaowei Chen
wiley   +1 more source

Mel-frequency cepstral coefficients of voice source waveforms for classification of phonation types in speech

, 2019
Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms ...
Kadiri, Sudarsana Reddy, Sudarsana Reddy Kadiri, Paavo Alku, Alku, Paavo   +3 more
core   +1 more source

Automatic Speaker Recognition Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models [PDF]

Mehran University Research Journal of Engineering and Technology, 2013
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. The paper initially presents the technical description of automatic SR, followed by the comparative analysis of a number of methods available for feature ...
Sheeraz Memon, Sania Bhatti, Farzana Rauf Abro   +2 more
doaj  

Construction and Application of GAN Enhanced Virtual Interpretation Model for Sports Communication

Engineering Reports, Volume 8, Issue 6, June 2026.
This model is an end‐to‐end framework. Firstly, the style‐based generation network Style‐based GAN2 (StyleGAN2) is used to generate a highly realistic and adjustable static narrator portrait. Then, Bi‐directional Long Short‐Term Memory (Bi‐LSTM) is used to encode the Mel‐frequency Cepstral Coefficients (MFCCs), phonemes, and prosodic features of the ...
Li Zhang, Hongyuan Xie, Jun Zhang, Ying Yang   +3 more
wiley   +1 more source