AES Show 2024 NY

Spatial and immersive audio has become increasingly mainstream, presented in concert halls and more recently through music streaming services. There is a diverse ecosystem of hardware and software controllers and renderers in both live and studio settings that would benefit from a standardized communication protocol. In 2019 a group of industry stakeholders began designing ADM-OSC to fill this need. ADM-OSC is a standard for transmitting metadata for object-based audio by implementing a namespace in parallel with the Audio Definition Model (ADM), a metadata standard developed in the broadcast industry. Open Sound Control (OSC) is a well-established data transport protocol developed for flexible and accurate communication of real-time performance data. By leveraging these open standards, we have created a lightweight specification that can be easily implemented in audio software, plugins, game engines, consoles, and controllers.
ADM-OSC has reached a level of maturity over multiple implementations be ready for an official 1.0 release. This paper will discuss the design of ADM-OSC 1.0 and how it was developed to facilitate interoperability for a range of stakeholders and use cases. The core address space for position data is described, as well as extensions for live control data. We conclude with an overview of future ADM-OSC development, including next steps in bringing together ideas and discussion from multiple industry partners.

Modern Ultra Wide-Band Wireless (UWB) transceiver radio systems enhance digital audio wireless transmission by eliminating the need for audio data compression required by narrowband technologies such as Bluetooth. UWB systems, characterized by their high bandwidth, bypass compression computation delays, enabling audio data transmission from transmitter to receiver in under 10 milliseconds. This paper presents an analytical study of audio signals transmitted using a contemporary UWB transceiver system. The analysis confirms that UWB technology can deliver high-resolution (96kHz/24-bit) audio that is free from artifacts and comparable in quality to a wired digital link. This study underscores the potential of UWB systems to revolutionize wireless audio transmission by maintaining integrity and reducing latency, aligning with the rigorous demands of high-fidelity audio applications.

Composer Iannis Xenakis (1922-2001), in his book Formalized Music (1963), includes a piece of Fortran IV computer code which produces a composition of stochastically generated music. This early example of indeterminate music made by a computer was in fulfillment of his goal of creating a musical composition of minimum constraints by letting the computer stochastically generate parameters. Stochasticity is used on all levels of the composition, macro (note density and length of movements) and micro (length of notes and pitches). This paper carefully analyzes the output composition and the variations the program might produce. Efforts are then made to convert these compositions into MIDI format in order to promote their preservation and increase their accessibility. The preservation of the Free Stochastic Music Program is beneficial to understand one of the first examples of indeterminate computer music, with similar techniques being found in modern day music creation software.

This study investigates the phenomenon of increased emergency room visits by teenagers following the broadcast of ‘High School Rapper 2’, which features self-harm in its lyrics. The rate of emergency room visits for self-harm among adolescents aged 10 to 24 notably increased during and shortly after the program. Specifically, in the 10-14 age group, visits per 100,000 population tripled from 0.9 to 3.1. For those aged 15-19, the rate rose from 5.7 to 10.8, and in the 20-24 age group, it increased from 7.3 to 11.0. This study aims to clarify the relationship between lyrics and self-harm rates among adolescents. We analyzed the lyrics of the top 20 songs performed on Melon, a popular music streaming platform for teenagers, from April to October 2018. Using Python's KoNLPy and Kkma libraries for tokenization, part-of-speech tagging, and stop-word filtering, we identified the top 50 frequently appearing words and narrowed them down to the top 20 contextually significant words. A correlation analysis (Pearson R) with "Emergency Department Visits due to Self-Harm" data revealed that the words 'sway', 'think', 'freedom' and 'today' had a statistically significant correlation (p < 0.05). Additionally, we found that males’ self-harm tendency was less influenced by the broadcast compared to females. This research suggests a computational approach to understanding the influence of music lyrics on adolescent self-harm behavior. This pilot study demonstrated correlations between specific words in K-pop lyrics and increased adolescent self-harm rates, with notable gender differences.