11 citations · 11 across the 1 of their papers we have counts for
2 papers
eess.AS2020★ 11 cited
A non-causal FFTNet architecture for speech enhancement
Muhammed PV Shifas, Nagaraj Adiga, Vassilis Tsiaras +1
In this paper, we suggest a new parallel, non-causal and shallow waveform domain architecture for speech enhancement based on FFTNet, a neural network for generating high quality a…
eess.AS2018
Speaker-independent raw waveform model for glottal excitation
Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli +3
Recent speech technology research has seen a growing interest in using WaveNets as statistical vocoders, i.e., generating speech waveforms from acoustic features. These models have…