NDLI: Prediction of F0 contours from symbolic and numerical variables using continuous conditional random fields

Content Provider	IEEE Xplore Digital Library
Author	Fernandez, R. Minnis, S. Ramabhadran, B.
Copyright Year	2012
Description	Author affiliation: IBM TJ Watson Research Center, Yorktown Heights, NY, USA (Fernandez, R.; Ramabhadran, B.) \|\| Nuance Communications, Inc., Norwich, UK (Minnis, S.)
Abstract	Regression of continuous-valued variables as a function of both categorical and continuous predictors arises in some areas of speech processing, such as when predicting prosodic targets in a text-to-speech system. In this work we investigate the use of Continuous Conditional Random Fields (CCRF) to conditionally predict F0 targets from a series of s symbolic and numerical predictive features derived from text. We derive the training equations for the model using a Least-Squares-Error criterion within a supervised framework, and evaluate the proposed system using this objective criterion against other baseline models that can handle mixed inputs, such as regression trees and ensemble of regression trees.
Starting Page	4621
Ending Page	4624
File Size	125334
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288948
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Numerical models Regression tree analysis Feature extraction Speech Predictive models Vegetation speech synthesis conditional regression F0 prediction
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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