Unknown Word Detection Based on Event-Related Brain Desynchronization Responses

2015 ◽  
pp. 169-175
Author(s):  
Takafumi Sasakura ◽  
Sakriani Sakti ◽  
Graham Neubig ◽  
Tomoki Toda ◽  
Satoshi Nakamura
Keyword(s):  
Unknown Word ◽  
Word Detection

New Word Detection for Sentiment Analysis

2014 ◽  
Author(s):  
Minlie Huang ◽  
Borui Ye ◽  
Yichen Wang ◽  
Haiqiang Chen ◽  
Junjun Cheng ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
Word Detection

Implementation of Android Based Speech Recognition for Indonesian Geography Dictionary

2016 ◽  
Vol 7 (2) ◽  
pp. 76-82
Author(s):  
Hugeng Hugeng ◽  
Edbert Hansel
Keyword(s):  
Speech Recognition ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Spoken Word ◽  
Silent Condition ◽  
Word Detection ◽  
Index Terms ◽  
To Receive ◽  
Noisy Condition

We have built an application of speech recognition for Indonesian geography dictionary based on Android operating system, named GAIA. This application uses a smartphone as a device to receive input in the form of a spoken word from a user. The approach used in recognition is Hidden Markov Model which is contained in the Pocketsphinx library. The phonemes used are Indonesian phonemes’ rule. The advantage of this application is that it can be used without internet access. In the application testing, word detection is done with four conditions to determine the level of accuracy. The four conditions are near silent, near noisy, far silent, and far noisy. From the testing and analysis conducted, it can be concluded that GAIA application can be built as a speech recognition application on Android for Indonesian geography dictionary; with the results in the near silent condition accuracy of word recognition reaches an average of 52.87%, in the near noisy reaches an average of 14.5%, in the far silent condition reaches an average of 23.2%, and in the far noisy condition reaches an average of 2.8%. Index Terms—speech recognition, Indonesian geography dictionary, Hidden Markov Model, Pocketsphinx, Android.

Open Domain New Word Detection Using Condition Random Field Method

2013 ◽  
Vol 24 (5) ◽  
pp. 1051-1060 ◽  
Author(s):  
Fei CHEN ◽  
Yi-Qun LIU ◽  
Chao WEI ◽  
Yun-Liang ZHANG ◽  
Min ZHANG ◽  
...  
Keyword(s):  
Random Field ◽  
Field Method ◽  
Open Domain ◽  
Word Detection

Exposure to Justice Alters Moral Word Detection

2015 ◽  
Author(s):  
Ana P. Gantman ◽  
Jay J Van Bavel
Keyword(s):  
Word Detection
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