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Chapter and Conference Paper
APNet2: High-Quality and High-Efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra
In our previous work, we have proposed a neural vocoder called APNet, which directly predicts speech amplitude and phase spectra with a 5 ms frame shift in parallel from the input acoustic features, and then r...
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Chapter and Conference Paper
Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis
This paper proposes a source-filter-based generative adversarial neural vocoder named SF-GAN, which achieves high-fidelity waveform generation from input acoustic features by introducing F0-based source excita...
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Article
Open AccessA robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos
With the help of big data, cloud computing, artificial intelligence and other technologies, the informatization and intelligence of the wisdom medical have been gradually realized. However, with the transmissi...
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Chapter and Conference Paper
An Ontology-Based Platform for Scientific Writing and Publishing
Writing scientific discourses and publishing academic results are integral parts of a researcher’s daily professional life. Although tremendous magic have been brought by advancement of digital library technol...