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Jun 7, 2024 · [1] Jonathan Shen, Ruoming Pang, Ron J Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, Rj Skerrv-Ryan, et al., “Natural TTS synthesis by conditioning wavenet on mel spectrogram predictions,” in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Process.
Jun 10, 2024 · Recently, deep reinforcement learning (DRL) methods have achieved impressive performance on tasks in a variety of domains. However, neural network policies produced with DRL methods are not human-interpretable and often have difficulty generalizing to novel scenarios.
Jun 10, 2024 · In this work, we propose a method to discover the set of labels of training samples from only the gradient of the last layer and the id to label mapping. Our method is applicable to a wide variety of model architectures across multiple domains.
Jun 20, 2024 · : Christopher Hwang, Jonathan Shen. About The Golden Duck. As the cofounders of Singaporean food company The Golden Duck Co., Shen and Hwang took advantage of a craze for salted egg yolk...
Jun 18, 2024 · Speech is the powerful engine of communication among human beings and language is meant for communicating with the world. This has motivated new researchers to study automatic...
Jun 18, 2024 · Our study focuses on multilingual prosody transfer in TTS, particularly exploring models initially trained in English and then adapted to other languages. Adapting TTS for multilingual use involves various representation learning methods, including semi-supervised and self-supervised learning (Saeki et al., 2023a).
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Jun 10, 2024 · We present a neural analysis and synthesis (NANSY) framework that can manipulate voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have focused on using information bottleneck to disentangle analysis features for controllable synthesis, which usually results in poor reconstruction quality.
