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This paper describes a reading quality scoring system based on large vocabulary continuous speech recognition (LVCSR). Our previous scoring system was based on forced alignment. A disadvantage of forced alignment based system is it can hardly catch huge kinds of reading miscues, while LVCSR based system avoids this disadvantage. The most challenge was that the LVCSR recognition rate was low on our...
As business information quickly varies with time, the extraction of knowledge from the related dynamically changing database is vital for business decision making. For an incremental learning optimization on knowledge discovery, a new incremental matrix describes the changes of the system. An optimization incremental algorithm induces interesting knowledge when the object set varies over time. Experimental...
This paper discusses tone pronunciation scoring for Mandarin multi-syllable words in Computer Assisted Language Learning (CALL) System. A commonly used tone evaluation method is using GMM to model various pitch sequence. Because the pattern of pitch sequence will change a lot in the multisyllable context, tone models trained on mono-tone database will not have good performance on multi-syllable speech...
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