Research Project
Grant-in-Aid for Young Scientists (B)
In this study, we have developed web-based speech interface system to identify adult and child speakers as follows: (1) Auditory features were integrated into the identification algorithms to improve accuracies. We have introduced deep learning neural networks (DNNs). (2) Interactive strategy method of determining language information were investigated. Co-occurrence information of vocabulary included in the newspaper articles and Bag-of-Words features were tested as linguistic features. (3) We have improved the proposed system as web service. The system is able to run on the Android terminal in addition to the PC terminal. We also studied about the design of the voice-enabled web user interface on the basis of the experimental results.
All 2015 2014 2013 Other
All Presentation (9 results) Remarks (2 results)
http://w3voice.jp/
