Systems and Methods for Human Speech Training
AssigneeBoard of Regents, The University of Texas System
InventorsMd. Motasim BELLAH, Jodi M. TOMMERDAHI, Mohammad Raziul HASAN, Samir M. IQBAL
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Abstract
Language learning and speech training techniques are implemented to provide automated and real-time quantitative feedback to the user. Sound samples produced by a speaker are transcribed and analyzed against database sound samples to: provide speech therapy, compute the accuracy of a speaker's pronunciation, aid in learning a foreign language, and help members of the deaf community learn to communicate with spoken language.
Claims20
A method for human speech training, comprising:
- receiving a sound sample from a human speaker;
- comparing the received sound sample against sound samples in a database by performing a mathematical analysis to determine a percent match between the received sound sample and one of the sound samples in the database;
- using the percent match as quantitative feedback to the human speaker in real time;
- and
- notifying the human speaker that higher percent match indicates higher pronunciation accuracy.
A system for speech training, comprising a processor programmed to:
- receive a sound sample from a human speaker;
- compare the received sound sample against sound samples in a database by performing a mathematical analysis to determine a percent match between the received sound sample and one of the sound samples in the database;
- use the percent match as quantitative feedback to the human speaker in real time;
- and
- notify the human speaker that higher percent match indicates higher pronunciation accuracy.
Dependencies are inferred from the claim text.