HIERARCHICAL TRANSFER LEARNING FOR MULTILINGUAL, MULTI-SPEAKER, AND STYLE TRANSFER DNN-BASED TTS ON LOW-RESOURCE LANGUAGES

Hierarchical Transfer Learning for Multilingual, Multi-Speaker, and Style Transfer DNN-Based TTS on Low-Resource Languages

This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages.DNN-based system typically requires a large amount of training data.In recent years, while DNN-based TTS has made remarkable results for high-resource languages, it still suffers from a data La

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A Novel Visual Measurement Method for Three-Dimensional Trajectory of Underwater Moving Objects Based on Deep Learning

For deep sea equipment suspension installation used in marine engineering, the multi-camera video motion analysis method is used to calculate the three-dimensional underwater trajectory of the underwater engineering structure.Considering difficulty in underwater modeling caused by the problems of light scattering and refraction under water, the cam

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Genetic drift precluded adaptation of an insect seed predator to a novel host plant in a long-term selection experiment.

Host specialization is considered a primary driver of the enormous diversity of herbivorous insects.Trade-offs in host use are hypothesized to promote this specialization, but they have mostly been studied in generalist herbivores.We conducted a multi-generation selection experiment to examine the adaptation of the specialist seed-feeding bug, Lyga

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