Results 141 to 150 of about 8,338,200 (223)

Firearm classification from acoustic signals using combined mel spectrogram, MFCC, LFCC, and CRNN networks. [PDF]

Sci Rep
Elkarous L, Jeridi MH, Dhouibi M.
europepmc   +1 more source

Pain Level Classification from Speech Using GRU-Mixer Architecture with Log-Mel Spectrogram Features. [PDF]

Diagnostics (Basel)
Alhudhaif A.
europepmc   +1 more source

Mel Fletcher (?)

, 1940
Photo shows a skier (possibly Mel Fletcher) using a snow-covered house as a ski jumping ...

core  

Implementing Mel-Spectrogram Analysis for Emotion Recognition in Speech

INTERNATIONAL JOURNAL OF RESEARCH IN SCIENCE AND TECHNOLOGY, 2023
openaire   +1 more source

Spoken Language Identification using Mel-Spectrogram

In this study, a model was developed to automatically identify five of the most widely spoken languages (English, French, German, Spanish, and Turkish) based on speech signals. The features of each audio recording were extracted using the Mel-spectrogram method and converted into grayscale images, which were then used to construct the dataset.
openaire   +1 more source

Fault Diagnosis of Motor Bearing Transmission System Based on Acoustic Feature Fusion. [PDF]

Sensors (Basel)
Ma L, Zhang Y, Wang Z, Niu B.
europepmc   +1 more source

An empirical comparison of deep CNN architectures for heart sound classification from phonocardiogram signals. [PDF]

Front Physiol
Al Tawil A, Bin Sheeha B, Aburub A.
europepmc   +1 more source

Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition: Random vs actor-wise evaluation on CREMA-D. [PDF]

PLoS One
Kumari P, Raghav YY, Kochher V, Katta PK, A A, M P, A J, Belete FG.   +7 more
europepmc   +1 more source

Speech-based concussion detection in athletes using Mel-spectrograms and convolutional neural networks. [PDF]

Front Neurol
Rubaiat R, Poellabauer C.
europepmc   +1 more source

Measuring surprisal in sound sequences. [PDF]

Behav Res Methods
Anikin A.
europepmc   +1 more source