Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks

Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks

Formant tracking is investigated in this study by using trackers based on dynamic programming (DP) and deep neural nets (DNNs). Using the DP approach, six formant estimation methods were first compared. The six methods include linear prediction (LP) algorithms, weighted LP algorithms and the recentl...

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Bibliographic Details
Main Authors: Dhananjaya N. Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Speech analysis
formant tracking
linear prediction
dynamic programming
deep neural net
Online Access:https://ieeexplore.ieee.org/document/9606741/

Internet

https://ieeexplore.ieee.org/document/9606741/

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