Audacity Software Analysis In Analyzing The Frequency And Character Of The Sound Spectrum

In the process of learning physics, experiments are needed that can help someone in gaining a deeper understanding of learning physics concepts and using technology in the learning process, especially learning sound waves. In this study, the aim is to be able to analyze the sound frequency with the help of Audacity software. Subjects used are 5 different cat sounds. The implementation of this research uses several tools such as a microphone, Audacity software on a laptop, and 5 cat sounds. This experiment was carried out by bringing the micro hope closer to the cat with 5 cm so that the sound was captured by the microphone which would later be transferred to the laptop and read by the audacity software. Furthermore, the data recorded in audacity were analyzed. From the results of the study, it can be said that a tool that can be used in practicum and can read and capture sound waves is effectively used in analyzing sound frequency, spectrum in the application of sound learning so that it can be used as one of the learning media in practicum on sound wave material at Junior high school.

THE SOUND DIMENSION IN THE UPPER BASIN OF THE MIÑO RIVER (GALICIA, NW IBERIAN PENINSULA)

The sound spectrum of water configures representative marks of various environments, which define a sound heritage with scientific, cultural, emotional, sensorial and educational value. From this perspective, river environments comprise a wide spectrum of sonic resonances. This study, contextualized within the field of geo-sonority research, considers the recording and analysis of water through several samples from the upper basin of the Miño River. The objectives are to advocate for the role of sonority as part of the intangible heritage, to explore its character in the fluvial environment of inland Galicia, and to contribute to the preservation of the sonic marks of water as sounds inherent to the identity of an area. The methodology applied consists of phases of field recording, the creation of databases and of phonic analysis. Water in its sound form, from the drop rhythmically repeating to the roar of a waterfall, fills an audible sound spectrum that characterizes soundscapes. By registering, documenting, and analyzing the sounds of the water, we advance in the knowledge of the diversity of the sound environments in the river basin of the Miño River.

Analysis of Human Voice Spectrum based on Regional Accent in Vowels and Consonants

This study aims to analyze the spectrum of the human voice based on the accents of several regions. This research is included in the type of experimental research. Data were collected from 4 male respondents aged 23 years as research subjects. Respondents come from Central Java, East Java, Jambi, and South Sulawesi or come from Javanese, Malay, and Bugis ethnicities. Each respondent pronounces the vowels /a/ and /e/ as well as the consonants /b/, /d/, and /g/ once in each sound under normal circumstances or does not have throat problems or other things that make the sound abnormal. Voice recording is done in a closed and quiet room without any disturbance by using a microphone connected to a laptop using the cool record edit pro application. The sound spectrum was analyzed using Praat verse 2 software, then the recording was converted to *wav format. Furthermore, the sound spectrum analysis procedure uses software to determine the shape of the spectrum, the maximum or minimum pitch frequency (F0), and the formant frequency of F1-F4 in each sample. The results showed that the response of men from South Sulawesi had the highest tone of 156 Hz in the letter /b/ and 145 Hz in the letters /d/ and /g/ respectively. while the lowest tone of voice owned by men from the Jambi area is 105 Hz, 109 Hz, and 102 Hz for each consonant and the output from F0 (pitch) to F1-F4 (formant) can change and does not describe the high pitch, meaning the formant will always high.

Analysis of the liquids composition by the sound produced by their heating

When a liquid is heated and the power of the heater is high enough (about 1MW/m2), bubbles are formed at the surface of the heater. Their expansion and collapse are the source of a specific sound, known to everybody who uses a kettle to prepare water for tea or coffee. The main goal of this study is to investigate whether it is possible to judge about the composition of the heated liquid by this sound. A specialized experimental set up is assembled and a systematic study of all known factors, influencing the sound is carried out. It is found out that the most crucial parts of the set up are the container for the liquids and the heater. They are discussed in detail and considerations for further improvements are given. It is demonstrated that with the present apparatus it is possible to detect changes in the sound spectrum when changing the composition of the liquid. For example, one can distinguish between pure water and water with less than 0.1% of ethanol. Along with admixtures of different alcohols, experiments with a soap solution in water and carbonated water are performed.

Analisis Ketidaksesumbuan Poros (Misalignment) pada Rotordinamik Berdasarkan Sinyal Suara

This research aims to identify misalignment of the rotor dynamics based on sound spectrum characteristic. In this study, rotor dynamics consist of motor, shaft, coupling and bearings. Three types of misalignment were considered, namely parallel, angular, and combination misalignment. In order to obtain the best signal, microphones were used as sensors to capture sound signal placed on coupling and each bearing. The signal obtained was in time series. The sound signal in the time domain is then filtered to remove noise signals, which are then transferred to be signals in the frequency domain using Fast Fourier Transform (FFT). From the test results, it is found that in the case of parallel misalignment, the sound frequency spectrum is obtained with a peak amplitude at 2x rpm. The case of angular misalignment obtained a sound spectrum with a peak amplitude value and is dominant at 1x rpm than 2x rpm. Meanwhile, in the case of a combination of parallel and angular misalignment, a peak amplitude sound spectrum appears at 1x rpm and 2x rpm with relatively close spacing between the peaks of the sound spectrum. The result shows that sound signal can be used for identification of misalignment of the rotor dynamics.

Traveling-wave control of the bending wave in a beam for high quality sound radiation

The bending wave generated by the actuator exciting a panel can be controlled to be in the traveling wave form void the structural resonances, which deteriorates the radiated sound if the panel is used as a speaker. Although such traveling-wave control method (TCM) yields a wider effective frequency range than the modal control method, the requirement of using many actuators is the practical problem yet. If a beam is employed instead of a plate as a panel speaker, the number of actuators can be reduced despite a smaller radiating surface than a plate. This study adopts three actuators for the beam control using TCM. An actuator excites the beam in the middle position, and the two actuators near the two edges are used to suppress the reflected waves from the boundaries. The control result shows that the driving-point mobility of the primary actuator is converted into that of an infinite beam, which means that the boundaries are changed into anechoic ones and the structural resonances are eliminated. Accordingly, the beam radiates a smooth sound spectrum without sharp peaks and troughs related to the resonant responses. Effects of material and dimension in determining the effective frequency range are also explored.

Music Feature Extraction and Classification Algorithm Based on Deep Learning

With the rapid development of information technology and communication, digital music has grown and exploded. Regarding how to quickly and accurately retrieve the music that users want from huge bulk of music repository, music feature extraction and classification are considered as an important part of music information retrieval and have become a research hotspot in recent years. Traditional music classification approaches use a large number of artificially designed acoustic features. The design of features requires knowledge and in-depth understanding in the domain of music. The features of different classification tasks are often not universal and comprehensive. The existing approach has two shortcomings as follows: ensuring the validity and accuracy of features by manually extracting features and the traditional machine learning classification approaches not performing well on multiclassification problems and not having the ability to be trained on large-scale data. Therefore, this paper converts the audio signal of music into a sound spectrum as a unified representation, avoiding the problem of manual feature selection. According to the characteristics of the sound spectrum, the research has combined 1D convolution, gating mechanism, residual connection, and attention mechanism and proposed a music feature extraction and classification model based on convolutional neural network, which can extract more relevant sound spectrum characteristics of the music category. Finally, this paper designs comparison and ablation experiments. The experimental results show that this approach is better than traditional manual models and machine learning-based approaches.

Identifying the Range of Micro-Events Preceding the Critical Point in the Destruction Process in Traditional and Quasi-Brittle Cement Composites with the Use of a Sound Spectrum

This paper presents the possibilities of determining the range of stresses preceding the critical destruction process in cement composites with the use of micro-events identified by means of a sound spectrum. The presented test results refer to the earlier papers in which micro-events (destruction processes) were identified but without determining the stress level of their occurrence. This paper indicates a correlation of 2/3 of the stress level corresponding to the elastic range with the occurrence of micro-events in traditional and quasi-brittle composites. Tests were carried out on beams (with and without reinforcement) subjected to four-point bending. In summary, it is suggested that the conclusions can be extended to other test cases (e.g., compression strength), which should be confirmed by the appropriate tests. The paper also indicates a need for further research to identify micro-events. The correct recognition of micro-events is important for the safety and durability of traditional and quasi-brittle cement composites.