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Multiple output samples per input in a single-output Gaussian process
The standard Gaussian Process (GP) only considers a single output sample per input in the training set.
SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech
Text-to-speech (TTS) models have achieved remarkable naturalness in recent years, yet like most deep neural models, they have more parameters than necessary.
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
In this work, we seek to answer the question: what are the characteristics of selected sparse techniques on the performance and model complexity?
Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil
While speech evaluation on English has been popular, automatic speech scoring on low resource languages remains challenging.
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