Results 101 to 110 of about 15,845 (176)

Pitfalls in using ML to predict cognitive function performance. [PDF]

Sci Rep
Kuhles G, Hamdan S, Heim S, Eickhoff SB, Patil KR, Camilleri JA, Weis S.   +6 more
europepmc   +1 more source

Predicting affective engagement and mental strain from prosodic speech features. [PDF]

Front Psychiatry
Yache VP, Moradbakhti L, Neuner I, Veselinovic T.   +3 more
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

Bridging Text and Speech for Emotion Understanding: An Explainable Multimodal Transformer Fusion Framework with Unified Audio-Text Attribution. [PDF]

J Intell
Pandey A, Singh J, Kaur M.
europepmc   +1 more source

Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates [PDF]

, 2008
Goldwater, Sharon, Jurafsky, Dan, Manning, Christopher D.   +2 more
core  

Longitudinal study of functional brain networks for processing infant-directed and adult-directed speech during the first year. [PDF]

iScience
Háden GP, Tóth B, Winkler I.
europepmc   +1 more source

Decoding Prosodic Information from Motion Capture Data: The Gravity of Co-Speech Gestures. [PDF]

Open Mind (Camb)
Momsen JP, Coulson S.
europepmc   +1 more source

A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis. [PDF]

Sci Rep
Hu Q, Peng Y, Zheng Z.
europepmc   +1 more source

Word stress in Arabic [PDF]

, 2011
Watson, JCE
core   +1 more source

An acoustic model of speech dysprosody in patients with Parkinson's disease. [PDF]

Front Hum Neurosci
Nylén F.
europepmc   +1 more source