The research team has developed the method of neural source-filter (NSF) models for high-speed, high-quality voice synthesis. This technique, which combines the recent deep-learning algorithms and a classical speech production model dated back to the 1960s, is capable not only of generating high-quality voice waveforms — closely resembling the human voice — but also of conducting stable learning via neural networks.