This paper proposes a novel approach of DNN-based statistical parametric speech synthesis where non-negative matrix factorization (NMF) is effectively ...
Abstract—This paper proposes a novel approach of DNN- based statistical parametric speech synthesis where non-negative matrix factorization (NMF) is ...
Abstract—This paper proposes a novel approach of DNN- based statistical parametric speech synthesis where non-negative matrix factorization (NMF) is ...
May 15, 2024 · DNN based TTS system for the Japanese language by utilizing Non-Negative Matrix Factorization (NMF) was developed in 2019 [13] . The activity ...
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Face2Speech: Towards Multi-Speaker Text-to-Speech Synthesis ... DNN-based Statistical Parametric Speech Synthesis Incorporating Non-negative Matrix Factorization.
Sep 23, 2017 · We evaluated the effectiveness of the proposed method in DNN-based TTS and VC, and found that the proposed algorithm generates more natural ...
We built DNN-based acoustic models for the developed system. As acoustic features, the activity patterns derived from NMF are employed for acoustic features.
DNN-based Statistical Parametric Speech Synthesis Incorporating Non-negative Matrix Factorization · RNN-based speech synthesis using a continuous sinusoidal ...
A method for statistical parametric speech synthesis incorporating generative adversarial networks GANs is proposed. Although powerful deep neural networks ...
Abstract. This paper proposes a statistical parametric speech synthesis system that uses non-negative autoencoder (NAE) for spec- tral modeling.