The paper proposes a deep neural network (DNN)-based emotional speech synthesis method to improve the quality of synthesized emotional speech by speaker ...
Nov 15, 2018 · Abstract—The paper proposes a deep neural network (DNN)- based emotional speech synthesis method to improve the quality.
Abstract—The paper proposes a deep neural network (DNN)- based emotional speech synthesis method to improve the quality of synthesized emotional speech by ...
Subjective evaluations show that comparing with the traditional hidden Markov model (HMM)-based method, the proposed DNN-based emotional speech synthesis ...
In this work, we conduct a systematic study of speaker adaptation techniques for DNN-based speech synthesis. As dis- cussed in [20], there are three ways to ...
In this work, we conduct a systematic study of speaker adaptation techniques for DNN-based speech synthesis. As dis- cussed in [20], there are three ways to ...
In multi-speaker DNN (Fan et al., 2015) and emotional speech synthesis by speaker adaptation (Yang et al., 2018), the model of each speaker has its own output ...
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Feb 20, 2021 · In multi-speaker DNN [6] and emotional speech synthesis by speaker adaptation [13], the model of each speaker has its own output layer, that is, ...
In this work, we investigated the performance of DNN-based text-to-speech systems that in parallel to conventional text input also take speaker, gender, and age ...
This paper proposes architectures that facilitate the extrapolation of emotional expressions in deep neural network (DNN)-based text-to-speech (TTS).