HYBRID PREDICTIVE MODEL FOR ENHANCING PROSODIC EXPRESSIVENESS

Patent №

US 9,484,016

Granted

2016-11-01

Filed 2013

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

7

ml · nlp · vision · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14029062

Systems and methods for prosody prediction include extracting features from runtime data using a parametric model. The features from runtime data are compared with features from training data using an exemplar-based model to predict prosody of the runtime data. The features from the training data are paired with exemplars from the training data and stored on a computer readable storage medium.

AI classification

Speech1.00
Natural language1.00
Machine learning1.00
AI hardware1.00
Knowledge representation0.53
Planning0.51
Vision0.50
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 312230160

Assignors

FERNANDEZ, RAUL, RENDEL, ASAF

On an employer assignment, the assignors are typically the inventors.

From the same owner

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