1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2018
Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks
Akihiro Kato, Tomi Kinnunen
The fundamental frequency (F0) represents pitch in speech that determines prosodic characteristics of speech and is needed in various tasks for speech analysis and synthesis. Despi…
eess.AS2018★ 1 cited
A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech
Akihiro Kato, Tomi Kinnunen
The fundamental frequency (F0) contour of speech is a key aspect to represent speech prosody that finds use in speech and spoken language analysis such as voice conversion and spee…