Results 231 to 240 of about 160,738 (298)

The voice of depression: speech features as biomarkers for major depressive disorder. [PDF]

BMC Psychiatry
Menne F, Dörr F, Schräder J, Tröger J, Habel U, König A, Wagels L.   +6 more
europepmc   +1 more source

Perceptual formant discrimination during speech movement planning. [PDF]

PLoS One
Wang H, Ali Y, Max L.
europepmc   +1 more source

Otolaryngological Problems Among Patients with Growth Hormone Deficiency-A Systematic Review. [PDF]

J Clin Med
Abdulaziz-Opiela G, Witkowski P, Późniak Y, Bajdor J, Bautembach J, Myśliwiec M, Mikaszewski B.   +6 more
europepmc   +1 more source

Modeling speech adaptation to altered sensory feedback through continuous learning of internal sensory predictions

Elie B, Šimko J, Turk A.
europepmc   +1 more source

Speech sound discrimination in background noise across the lifespan: a comparative study in Mongolian gerbils and humans. [PDF]

Front Aging Neurosci
Jüchter C, Chi CJ, Beutelmann R, Klump GM.   +3 more
europepmc   +1 more source

Improved tactile speech perception using audio-to-tactile sensory substitution with formant frequency focusing. [PDF]

Sci Rep
Fletcher MD, Akis E, Verschuur CA, Perry SW.   +3 more
europepmc   +1 more source

Development and Beta Validation of an mHealth-Based Hearing Screener (SRESHT) for Young Children in Resource-Limited Countries: Pilot Validation Study. [PDF]

JMIR Form Res
Ramkumar V, Joshi B D, Prabhakar A, Hall JW, Vaidyanath R.   +4 more
europepmc   +1 more source

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Fast Track: fast (nearly) automatic formant-tracking using Praat

Linguistics Vanguard, 2021
Fast Track is a formant tracker implemented in Praat that attempts to automatically select the best analysis from a set of candidates. The best track is selected by modeling smooth formant contours across the entirety of the sound, providing the ...
Santiago Barreda
semanticscholar   +1 more source

Study of Formant Modification for Children ASR

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
The performance of automatic speech recognition systems for children’s speech is known to suffer from the large variation and mismatch in the acoustic and linguistic attributes between children’s and adults’ speech.
H. Kathania, Sudarsana Reddy Kadiri, P. Alku, M. Kurimo   +3 more
semanticscholar   +1 more source