most citedTraditional Machine Learning for Pitch Detection

32 citations · 32 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SD2019

Using a Pitch-Synchronous Residual Codebook for Hybrid HMM/Frame Selection Speech Synthesis

Thomas Drugman, Alexis Moinet, Thierry Dutoit +1

This paper proposes a method to improve the quality delivered by statistical parametric speech synthesizers. For this, we use a codebook of pitch-synchronous residual frames, so as…

cs.SD2019★ 32 cited

Traditional Machine Learning for Pitch Detection

Thomas Drugman, Goeric Huybrechts, Viacheslav Klimkov +1

Pitch detection is a fundamental problem in speech processing as F0 is used in a large number of applications. Recent articles have proposed deep learning for robust pitch tracking…