Deaf-specific language learning system and method
AssigneeElectronics and Telecommunications Research Institute
InventorsSung Yong SHIN, Jong Moo SOHN
Life of this patent
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Abstract
Disclosed is a language learning technology for deaf people. A deaf-specific language learning system includes: a sound input device configured to receive a voice from an external source; a learning server configured to store learning data and correction information; a signal processor configured to output voice pattern information corresponding to a voice signal received from the sound input device; a learning processor configured to output learning pattern information regarding the learning data received from the learning server and also output a learning result through similarity analysis; and an actuator controller configured to vibrate a vibration actuator according to the voice pattern information and the learning pattern information.
Claims10
A deaf-specific language learning system comprising:
- a sound input device configured to receive a voice from an external source;
- a learning server configured to store learning data and correction information;
- a signal processor configured to output voice pattern information corresponding to a voice signal received from the sound input device;
- a learning processor configured to output learning pattern information regarding the learning data received from the learning server and also output a learning result through similarity analysis;
- and
- an actuator controller configured to vibrate a vibration actuator according to the voice pattern information and the learning pattern information.
A deaf-specific language learning method comprising:
- outputting learning pattern information corresponding to learning data;
- driving a vibration actuator on the basis of the learning pattern information;
- outputting voice pattern information according to a voice signal corresponding to an input voice and also outputting the voice signal;
- and
- calculating a voice similarity score between the learning data and the voice signal, calculating a pattern similarity score between the learning pattern information and the voice pattern information, and totaling the voice similarity score and the pattern similarity score to output a similarity analysis result.
Dependencies are inferred from the claim text.