DAB Signal Preprocessing for Passive Coherent Location

Digital Audio Broadcast (DAB) transmitters can be successfully used as illumination sources in Passive Coherent Location (PCL). However, extending the integration time in such a configuration leads to the occurrence of periodical artifacts in the bistatic range/Doppler plots, resulting from the time structure of the DAB signal. In this paper, we propose some methods of signal preprocessing (based on symbol removal, substitution by noise, and duplication) that operate on the DAB transmission frame level and improve the received signal’s correlation properties. We also demonstrate that two of these methods allow us to avoid the mentioned artifacts and thus to improve the quality of the range/Doppler plots with detection results. We evaluate the performance of the proposed methods using real DAB signals acquired in an experimental PCL platform. We also provide the analysis of the Signal to Noise Ratio (SNR) during the detection of a moving target which shows that the proposed solution, based on symbol duplication, can offer around 3 dB of gain in SNR. Finally, we carry out the computational complexity analysis showing that the proposed method can be implemented with a minimal cost after some optimizations.

Can a natural singing voice be enhanced through digital processing? Implications of voice training and vocology in singers

Introduction. The traditional way of facilitating a good singing voice has been achieved through rigorous voice training. In the modern days, however, there are some aspects of the singing voice that can be enhanced through digital processing. Although in the past, the frequency or intensity manipulations had to be achieved through the various singing techniques of the singer, technology today allows the singing voice to be enhanced from the instruments within recording studios. In essence, the traditional voice pedagogy and the evolution of digital audio processing both strive to achieve a better quality of the singing voice, but with different methods. Nevertheless, the major aspects of how the singing voice can be manipulated are not communicated among the professionals in each field. Objective. This paper offers insights as to how the quality of the singing voice can be changed physiologically through the traditional ways of voice training, and also digitally through various instruments that are now available in recording studios. Reflection. The ways in which singers train their voice must be mediated with the audio technology that is available today. Although there are aspects in which the digital technology can aid the singer’s voice, there remain areas in which the singers must train their singing system in a physiological level to produce a better singing voice.

Radio in the Promotion of Croatian Tourism

Radio is a traditionally popular medium that still has its continuous and stable listenership. The digital age has endowed it with new technical and technological possibilities and multimedia, including a big breakthrough of digital audio broadcasting (DAB+). The Republic of Croatia is one of the leading European road trip destinations. Most of the tourists reach Croatia by car, which allows them to use their own vehicles for excursions during their holidays. Almost half of the population of the European Union is still in the habit of listening to the radio while driving. Therefore, radio stations, particularly those based in Adriatic Croatia, should not be left out from the endeavours to achieve the best possible results in the sector of tourism. The paper presents the findings of a qualitative survey that was conducted during January and February 2021 at radio stations whose headquarters are in this area (N=49). The aim of the research was to determine the current engagement of radio in the production of content intended for domestic and foreign tourists, the modalities and dynamics of cooperation with tourism entities in the field of broadcasting and the potential use of radio in the post-Covid tourist season. Twenty-eight radio editors (56%) responded to the survey. All of them consider radio to be a good medium for tourist promotion, yet the findings indicate a lack of offer of news and promotional tourist content. The most common reasons are unfavourable financial and personnel circumstances. With the synergy between tourist entities and radio stations, radio could prove to be a reliable business partner.

EXC!TE SNARE DRUM — Making an Audio Plugin with Pure Data inside

This report describes how we made a VST3 plugin containing Pure Data and integrated libpd into VCV Rack, iPlug2 and the VST3SDK. The plugin is a real-time snare drum synthesizer using an exciter-resonator model. We discovered an undesirable effect in Pd where the computationally cheap 4-point interpolation on delread4~ creates audible artefacts, effecting our wave-guide. Our solution to this issue was to implement our own interpolation object based on advice from Cyrille Henry posted to the Pd mailing list in 2008. The implementation was taken from Julius O. Smith‘s Digital Audio Resampling reference book.

Research on Music Classification Technology Based on Deep Learning

With the advent of the digital music era, digital audio sources have exploded. Music classification (MC) is the basis of managing massive music resources. In this paper, we propose a MC method based on deep learning to improve feature extraction and classifier design based on MIDI (musical instrument digital interface) MC task. Considering that the existing classification technology is limited by the shallow structure, it is difficult for the classifier to learn the time sequence and semantic information of music; this paper proposes a MIDIMC method based on deep learning. In the experiment, we use the MC method proposed in this paper to achieve 90.1% classification accuracy, which is better than the existing classification method based on BP neural network, and verify the music with its classification accuracy. The key point is that the music division method used in this paper has correct MC efficiency. However, due to the limited ability and time involved in the interdisciplinary field, the methodology of this paper has certain limitations, which still needs further research and improvement.

Digital audio technology in music teaching and learning: A preliminary investigation

The inclusion of digital audio technology for sampling, editing, mixing and producing music in formal music classrooms has been considered a needed area of expansion across the music teaching and learning landscape. Current research suggests that music technology, defined broadly, is often disregarded in many music classrooms. However, the ubiquity of music technology suggests its relevancy in the digital age, especially for sampling editing, mixing and producing music. The purpose of this research was to survey the current climate of music education across all levels of instruction, with a special focus on teaching digital audio technology using MIDI controllers and audio production techniques. A researcher-developed survey was distributed to a population of music teachers across the United States (N=83). Results found that participants taught few digital audio technology concepts, used Garageband extensively, were self-taught, relied on out-of-date hardware and used a variety of MIDI controllers. Implications for music education and considerations for additional research are provided in conclusion.