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A Regression Model of Recurrent Deep Neural Networks for Noise Robust
  Estimation of the Fundamental Frequency Contour of Speech

A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech

8 May 2018
Akihiro Kato
Tomi Kinnunen
ArXivPDFHTML

Papers citing "A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech"

2 / 2 papers shown
Title
Cluster-based Input Weight Initialization for Echo State Networks
Cluster-based Input Weight Initialization for Echo State Networks
Peter Steiner
A. Jalalvand
P. Birkholz
20
13
0
08 Mar 2021
Waveform to Single Sinusoid Regression to Estimate the F0 Contour from
  Noisy Speech Using Recurrent Deep Neural Networks
Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks
Akihiro Kato
Tomi Kinnunen
13
7
0
02 Jul 2018
1