HIDDEN MARKOV MODEL BASED TEXT TO SPEECH SYSTEMS EMPLOYING ROPE-JUMPING ALGORITHM

Patent №

US 8,315,871

Granted

2012-11-20

Filed 2009

Owner

MICROSOFT CORPORATION

AI components

3

ml · nlp · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12478342

A rope-jumping algorithm is employed in a Hidden Markov Model based text to speech system to determine start and end models and to modify the start and end models by setting small co-variances. Disordered acoustic parameters due to violation of parameter constraints are avoided through the modification and result in stable line frequency spectrum for the generated speech.

AI classification

Speech1.00
Natural language1.00
Machine learning1.00
AI hardware0.28
Vision0.02
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00

Ownership

MICROSOFT CORPORATION

assignment · 229550927

Assignors

WANG, WENLIN, ZHANG, GUOLIANG, XU, JINGYANG

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

© 2026 NYSGPT2525 LLC