Judul: Transkripsi Suara ke Teks Bahasa Indonesia Berbasis Suku Kata Menggunakan Codebook dan 2-level Dynamic Programming
Abstrak: Voice to text transcription is very useful because it allows people to interact with a system more quickly. However, it is hard for a system to recognize a speech which contains of connected words. This research aims to develop a system that recognize a connected word speech. The proposed approach uses MFCC as a feature extraction, codebook as pattern recognition method, and 2-level dynamic programming as connected words recognition method. The parameters used in feature extraction using MFCC are overlap, time frame, and number of cepstral coefficients. Moreover the parameter used in K-means clustering is the number of clusters. This research uses 900 syllable’s speech data from 18 classes, and 120 connected word’s speech data which consist of 60 testing data joined from training data and 60 real testing data. The results showed that the optimum value of K was 15, with the minimum word error rate of 0.1 for the ‘Ide Anda’ words resulted from joining words of training data with the overlap value of 0.25, the time frame value of 25 ms, the number of cepstral coefficients of 13, and the number of clusters of 20.
Keyword: dynamic programming, connected word, codebook, MFCC, K-means

Judul: Pengembangan Hidden Markov Models untuk fonem berbahasa Indonesia pada sistem konversi suara ke teks
Abstrak: Speech to text transcription system is a system used to convert a voice signal from a microphone or a telephone into a single or a set of words. Research on speech to text transcription systems has been widely applied. But these systems tend to be developed based on words, hence they are inefficient when developed for a large vocabulary. This study uses Baum Welch algorithm for HMM training, Forward algorithm for HMM testing, and Mel-Frequency cepstral coefficient (MFCC) to extract voice features. Data used in this study consist of 5 words in Indonesian language. Phonemes are generated from the segmentation process, and then trained with Baum Welch algorithm to generate the model. This study produced 10 models. The best accuracy obtained is 82% generated by testing the HMM with 2 States and 5 epochs
Keyword: 

Judul: Macroalgae development as feeding stimulants for the adult sea urchin (Tripneustes gratilla Linnaeus 1758)
Abstrak: Development of artificial feed for somatic growth and gonad quality is one of the focus of research on sea urchin aquaculture activities. Palatability is important factor when developing artificial feed for aquaculture diets. This study investigated the effects of macroalgae (Sargassum polycystum, Gracilaria lichenoides, and Ulva reticulata) as feeding stimulants to artificial diets consumption and gonad profile for the adult sea urchin Tripneustes gratilla, by three feeding trials. Previously starved T. gratilla were held in replicated (3X) 50 L aquaria with recirculation water system (in the first feeding trial) and flow through water system (in the second and third feeding trial). In the first feeding trial, preference of T. gratilla for dried macroalgae was assessed in choice feeding experiment. T. gratilla displayed significant preference for the agar containing dried U. reticulata at 20% agar weight over nine other diets treatment when they were offered simultaneously. Total protein, energy and the ratio of protein to energy in the dried macroalgae had no correlation on agar consumption by T. gratilla. Three artificial diets were made by incorporating one of each of these dried macroalgae at 5% feed weight used in the second feeding trial. Although no significant difference in artificial diets containing dried macroalgae, urchins fed diets containing dried macroalgae consumed more than basal diet when they were offered as single diet. These results indicate that dried macroalgae added to the artificial diets act as feeding stimulants and increasing the acceptability of artificial sea urchin diets. The third feeding trial used dried U. reticulata as feeding stimulant to artificial diet. Data suggest that artificial diet containing 10% dried U. reticulata boosting feed consumption and significantly increasing nutrient accumulation, gonad index, egg diameter and fix gonad color.
Keyword: