2 papers
cs.SD2019
Supervised Initialization of LSTM Networks for Fundamental Frequency Detection in Noisy Speech Signals
Marvin Coto-Jimenez
Fundamental frequency is one of the most important parameters of human speech, of importance for the classification of accent, gender, speaking styles, speaker identification, age,…
cs.SD2016
LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices
Marvin Coto-Jiménez, John Goddard-Close
Recent developments in speech synthesis have produced systems capable of outcome intelligible speech, but now researchers strive to create models that more accurately mimic human v…