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- W3034815852 abstract "According to monthly statistics report of criminal and civil cases in May 2019 in Malaysia,it reveals that the number of cases from the previous month are much more than the number ofdisposal cases, resulting significant amount of carried forward cases to the next month. This situationwas existing few years ago, and the problem of backlog cases are getting more and more severe. Theinefficient of judicial system is due to the delay of court transcription. In order to overcome thisproblem, the court recording and transcription has been implemented in the judiciary of Malaysia.This research paper study on the Malaysia court transcription system with the technology ofcontinuous speech recognition. With the adoption of court transcription system, the number ofdisposal cases could be improved as the transcript can be generated in shorter time for the judge asreference. However, the improper English pronunciation of Malaysian and the noisy environment arethe factors which may affect the performance of speech recognition. Therefore, the continuous speechrecognition system is developed by adapting the US English acoustic model with Maximum aPosteriori (MAP). The mel-frequency cepstral coefficients (MFCC) is the approach in featureextraction while the Hidden Markov Model is used as training model. Besides, the CMUSphinxtoolkit with various tools such as Pocketsphix and Sphinxtrain with acoustic model included isutilised to build a speech recognition system on Malaysian English language. After the adaptation of5 speakers spoke in Malaysian English, the Word Error Rate of the developed speech recognitionsystem reduced from 95.88% to 20.36%. When the system is examined with script that is not used asadaptation data and training data, the WER of Malaysian English speech recognition system is69.71%, lower than the baseline system of 79.65%." @default.
- W3034815852 created "2020-06-19" @default.
- W3034815852 creator A5051037572 @default.
- W3034815852 date "2020-01-01" @default.
- W3034815852 modified "2023-09-23" @default.
- W3034815852 title "Research and Development of Malaysia Court Transcription Continuous Speech Recognition for Malaysian English Language" @default.
- W3034815852 hasPublicationYear "2020" @default.
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