Training Machine Classifiers to Match the Performance of Human Listeners in a Natural Vowel Classification Task

doi 10.1109/icslp.1996.607182
Full Text
Abstract

Available in full text

Date

Unknown

Authors
Publisher

IEEE

Related search

Auditory Brainstem Responses to Continuous Natural Speech in Human Listeners

eNeuro
MedicineNeuroscience
2018English

Various Classifiers Performance Based Machine Learning Methods

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

The Neural Encoding of Formant Frequencies Contributing to Vowel Identification in Normal-Hearing Listeners

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2016English

Perception of Japanese Consonant-Vowel Syllables in Reverberation: Comparing Non-Native Listeners With Native Listeners

Acoustical Science and Technology
AcousticsUltrasonics
2018English

Multi-Category News Classification Using Support Vector Machine Based Classifiers

SN Applied Sciences
2020English

Performance Analysis of Machine Learning Classifiers for Detecting PE Malware

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Application of Combined Classifiers to Data Stream Classification

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

System Identification Applied to a Visuomotor Task: Near-Optimal Human Performance in a Noisy Changing Task

Journal of Neuroscience
Neuroscience
2003English

Temporal Effects of Vowel Production on Listeners' Perception of Speaker Age

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
1983English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy