On the Estimation of Fundamental Frequency From Nonstationary Noisy Speech Signals Based on the Hilbert–Huang Transform
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2782267
Abstract: This letter introduces a method based on the Hilbert–Huang transform (HHT) to estimate the fundamental frequency of nonstationary noisy speech signals. For this purpose, the target signals are analyzed by means of the ensemble empirical… read more here.
Keywords: noisy speech; hilbert; speech signals; fundamental frequency ... See more keywords
Reconstructing fundamental frequency from noisy speech using initialized autoencoders
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2020.9387643
Abstract: In this paper, we present a new approach for fundamental frequency (f0) detection in noisy speech, based on Long Short-term Memory Neural Networks (LSTM). f0 is one of the most important parameters of human speech.… read more here.
Keywords: noisy speech; fundamental frequency; detection; initialization ... See more keywords