Abstract
We studied new utterance support system working on an information terminal for people who have speech handicaps. We made word prediction and added fixed phrases from the dictionary including phrases often used in daily life conversations and class 2-gram using co-occurrence frequencies of parts of speech as additional functions to make it more effective and faster. And we did evaluation experiment with other methods.
Highlights
Speech is very important for us to communicate with others in our daily lives
The fixed phrases dictionary includes phrases often used in daily life conversations and class 2-gram is 2-gram made from co-occurrence frequency of parts of speech (POS) in Japanese
We show the details of the word prediction part
Summary
Speech is very important for us to communicate with others in our daily lives. because of speech handicaps, some people find it difficult to do that. The main approaches for the people to communicate with others are writing and sign language. They are difficult to master and writing needs to carry pens and papers at all times(1). The user inputs desired words and pad outputs it as a voice by using voice synthesis. To make this system faster and more effective, we studied a word input method and voice synthesis. To make a word prediction faster and more effective, we used 1) the fixed phrases dictionary and 2) the class 2-gram as additional functions. The fixed phrases dictionary includes phrases often used in daily life conversations and class 2-gram is 2-gram made from co-occurrence frequency of parts of speech (POS) in Japanese. We did evaluation experiment to find the efficient of both fixed phrases dictionary and class 2-gram
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