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Found 4 papers, 1 papers with code
CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages
In this paper, we present CML-TTS, a recursive acronym for CML-Multi-Lingual-TTS, a new Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG).
Evaluation of Speech Representations for MOS prediction
Among the supervised and self-supervised learning models using BRSpeechMOS, Whisper-Small achieved the best linear correlation of 0. 6980, and the speaker verification model, SpeakerNet, had linear correlation of 0. 6963.
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
Supervised learning with irregularly sampled time series have been a challenge to Machine Learning methods due to the obstacle of dealing with irregular time intervals.
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks
In this paper we describe the first half of a work-in-progress developed within a health plan provider with ROC curve ranging from 0. 81 to 0. 83.
