Judul: Perbandingan Wavelet Daubechies dan MFCC sebagai ekstraksi ciri pada pengenalan fonem berdasarkan distribusi normal
Abstrak: Speech recognition is speech to text transcription. Speech to text transcription system is a system used to convert a voice signal from a microphone into a single or a set of words. Most research of speech to text transcription used technique which every word in corpus is modeled. It is not effective if we want to develop a large vocabulary speech recognition system which number of words in corpus are more than one thousand words. Therefore, this research developed phoneme recognition with early stage in speech recognition. This research used some stage proces, those are take data, feature extraction, and feature matching. Normal Distribution (Gaussian) is used for feature matching, Wavelet Daubechies and MFCC is used for feature extraction. Corpus on this research consist of 11 words in Indonesian which each word recorded 20 times, 15 times for data training and 5 times for data testing. This research used 13 cepstral coefficients. Phonemes are generated from the segmentation process, and then mhu and sigma be calculated to generate the model. This case produced 26 models. The best accuracy is 90% generated by feature extraction MFCC and 46.92% generated by the Wavelet Daubechies.
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Judul: Model Fonem dengan Pendekatan Distribusi Normal untuk Pengenalan Kata Menggunakan MFCC sebagai Ekstraksi Ciri
Abstrak: Voice recognition is a field study in voice processing. Research on voice signal has several methods of processing, one of them is the Mel Frequency Cepstrum Coefficients (MFCC). The purpose of MFCC is to extract voice features. The goal of this research is to apply MFCC as a feature extraction and the normal distribution as a method for word recognition. The first step of the research is data reprocessing, and then data extraction using MFCC. Afterwards, the normal distribution method is used to process the data. From the result, it can be concluded that the normal distribution method can be used for word recognition.The results obtained from the word recognition using normal distribution and MFCC as feature extraction have the highest accuracy of 100% for the phonemes /g/, /n/, /p/, /v/, /x/, /y/ and the lowest accuracy of 67% for the phonemes /a/ and /k
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Judul: Sarcosporidiasis in slaughter animals
Abstrak: Sarcocystis which belong to the generally occuring parasites for they are found almost all over the countries of the world. Infection of Sarcocystis usually throught inges- tion of feces or flesh of infected animals. The pathogenesis of Sarcosporidiasis is considered as benign but when the Sarcocystis die in a host, sarcocystin or sarcosporidin is liberated thereby which lead to condemnation of meat in the abattoir. Besides condemnation of meat, Sarcocystis also causes: loss of appetite, anemia, lameness, weakness in the lion, diarrhea, fever, pyrexia, paralysis, emaciation, neuro logical disturbances, etc. " Amprolium "at the rate of 100 mg/Kg body weight per day has been practiced for prevention or to minimize Sarco- sporidiasis. Treatment must be started during incubation period. Shedding of Sarcocystis sporocysts in the feces of carnivores is the key factor in the spread of Sarcocystis infection. Therefore, control efforts must be based primarily on measures designed to break the cycle of Sarcocystis.
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