Optimization of K Parameters on KNN in Gamelan Jegog Title Classification Using Time Domain Features

Bali is one of the provinces in Indonesia which has a lot of culture and arts, one of which is the Gamelan Jegog Bali. The technology nowadays can make it easier for humans to search for the title of a song that was previously unknown. This technology can be applied to the unknown title of Gamelan Jegog. The features used in this system are Short Time Energy and Zero Crossing Rate. The feature is extracted from Gamelan Jegog and then used to find the best k parameter from the K-Nearest Neighbor classifier. The results showed that the highest accuracy was 45% when the k parameter is 9. The amount of data used and the classification method used has an effect on the accuracy of this system when compared to similar studies.

Co-occurrence Based Approach for Differentiation of Speech and Song

Discrimination of speech and song through auditory signal is an exciting topic of research. Preceding efforts were mainly discrimination of speech and non-speech but moderately fewer efforts were carried out to discriminate speech and song. Discrimination of speech and song is one of the noteworthy fragments of automatic sorting of audio signal because this is considered to be the fundamental step of hierarchical approach towards genre identification, audio archive generation. The previous efforts which were carried out to discriminate speech and song, have involved frequency domain and perceptual domain aural features. This work aims to propose an acoustic feature which is small dimensional as well as easy to compute. It is observed that energy level of speech signal and song signal differs largely due to absence of instrumental part as a background in case of speech signal. Short Time Energy (STE) is the best acoustic feature which can echo this scenario. For precise study of energy variation co-occurrence matrix of STE is generated and statistical features are extracted from it. For classification resolution, some well-known supervised classifiers have been engaged in this effort. Performance of proposed feature set has been compared with other efforts to mark the supremacy of the feature set.

Speech file compression by eliminating unvoiced/silence components

The main objective of this study is to have noise component of a speech signal eliminated and compressing it by storing the locations and durations of silence regions. The separation between voiced, unvoiced, and silence regions are done by using the Short Time Energy (STE) and Zero Crossing Rate (ZCR) methodologies. All operations in this study have been performed by using the User Interface (UI) developed on MATLAB®. These operations include voice recording, playing the recording, eliminating the unwanted regions, playing the modified recording, saving of original and compressed files and loading the recording compressed.

Modular Toroidal Copper Coil for the Investigation of Inductive Pulsed Power Generators in the MJ-Range

<div>Poster contribution to the 26th International Conference on Magnet Technology (MT26) in Vancouver, Canada, September 22-27, 2019. paper was submitted to the MT26 special issue of the IEEE Transactions on Applied Superconductivity.</div><div><br></div><div>Abstract: Inductive pulsed power generators apply coils as<br>powerful short time energy storage which is an ordinary mean to deliver pulses of high power to loads like electromagnetic accelerators. This article deals with the design, simulation, construction, electrical characterization and a pulsed stress test of a modular toroidal coil. The coil was made from 180 D-shaped copper discs and has an approximate inductance of 1mH (f > 50 Hz) and frequency dependent resistance according to 3.88 mOhm Sqrt(f) + 5 mOhm. Its height, diameter and weight is 0.4 m, 1 m and 1 ton respectively. It is designed to store more than 1 MJ<br>of energy.<br></div>

Modular Toroidal Copper Coil for the Investigation of Inductive Pulsed Power Generators in the MJ-Range

<div>Poster contribution to the 26th International Conference on Magnet Technology (MT26) in Vancouver, Canada, September 22-27, 2019. paper was submitted to the MT26 special issue of the IEEE Transactions on Applied Superconductivity.</div><div><br></div><div>Abstract: Inductive pulsed power generators apply coils as<br>powerful short time energy storage which is an ordinary mean to deliver pulses of high power to loads like electromagnetic accelerators. This article deals with the design, simulation, construction, electrical characterization and a pulsed stress test of a modular toroidal coil. The coil was made from 180 D-shaped copper discs and has an approximate inductance of 1mH (f > 50 Hz) and frequency dependent resistance according to 3.88 mOhm Sqrt(f) + 5 mOhm. Its height, diameter and weight is 0.4 m, 1 m and 1 ton respectively. It is designed to store more than 1 MJ<br>of energy.<br></div>

Voiced and unvoiced separation in malay speech using zero crossing rate and energy

<p>This paper contributes to the literature on voice-recognition in the context of non-English language. Specifically, it aims to validate the techniques used to present the basic characteristics of speech, viz. voiced and unvoiced, that need to be evaluated when analysing speech signals. Zero Crossing Rate (ZCR) and Short Time Energy (STE) are used in this paper to perform signal pre-processing of continuous Malay speech to separate the voiced and unvoiced parts. The study is based on non-real time data which was developed from a collection of audio speeches. The signal is assessed using ZCR and STE for comparison purposes. The results revealed that ZCR are low for voiced part and high for unvoiced part whereas the STE is high for voiced part and low for unvoiced part. Thus, these two techniques can be used effectively for separating voiced and unvoiced for continuous Malay speech.</p>