Results 121 to 130 of about 10,198 (208)

A 1D-CNN with advanced data augmentation for robust speech emotion recognition. [PDF]

Sci Rep
Chourasia N, Lamba CS, Gupta AK.
europepmc   +1 more source

Spectro-temporal vs. spectral features to predict the lombard gain in Mandarin Chinese. [PDF]

PLoS One
Scharf MK, Warzybok A, Wong LLN, Chen F, Kollmeier B.   +4 more
europepmc   +1 more source

A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets. [PDF]

Sci Rep
Mahmud NA, Zhang T, Iqbal Y, Sumona FB, Iqbal A, Geng Y, Khan W, Zneid BA, Zaitsev I.   +8 more
europepmc   +1 more source

Ensemble learning model for deepfake audio detection using multi-feature extraction approach. [PDF]

Sci Rep
Chaudhury P, Narayan LS, Mridhula S, Tiwari R.   +3 more
europepmc   +1 more source

A multimodal feature fusion model integrating voice acoustic features and early key risk factors for early screening of postpartum depression: a prospective short-term longitudinal observational study. [PDF]

Front Public Health
Han X, Yue C, Zhang X, Ji X, Lin S, Chen M, Wang X, Zhang Y, Xu W, Liu Y, Li H.   +10 more
europepmc   +1 more source

Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]

Neurol Int
Hossain MA, Traini E, Amenta F.
europepmc   +1 more source

Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation. [PDF]

Appl Phys B
Saha T, Thomas BP.
europepmc   +1 more source

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling. [PDF]

Sci Rep
Ameen A, Eldesouky Fattoh I, Abd El-Hafeez T, Ahmed K.   +3 more
europepmc   +1 more source

Author Correction: A machine learning method to process voice samples for identification of Parkinson's disease. [PDF]

Sci Rep
Iyer A, Kemp A, Rahmatallah Y, Pillai L, Glover A, Prior F, Larson-Prior L, Virmani T.   +7 more
europepmc   +1 more source

A Smartphone-Based Acoustic Machine Learning Pipeline for Detecting Suicidal Ideation: Case-Control Model Development and Validation Study. [PDF]

JMIR Form Res
Lyu M, Tan L, Xiao J, Huang H, Liu F, Qi J, Huang T, Lei J, Zhao Z, Jiang T, Liu Z, Wang X, Zhong J, Feng Z.   +13 more
europepmc   +1 more source