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Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives
The ORARS addresses the MOS prediction problem by pairing a test sample with each of the pre-scored anchored reference samples.
Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network
By using deep learning approaches, Speech Emotion Recog-nition (SER) on a single domain has achieved many excellentresults.
Improving pronunciation assessment via ordinal regression with anchored reference samples
Traditional speech pronunciation assessment, based on the Goodness of Pronunciation (GOP) algorithm, has some weakness in assessing a speech utterance: 1) Phoneme GOP scores cannot be easily translated into a sentence score with a simple average for effective assessment; 2) The rank ordering information has not been well exploited in GOP scoring for delivering a robust assessment and correlate well with a human rater's evaluations.
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