JOURNAL OF THE AUDIO ENGINEERING SOCIETY
Scope & Guideline
Advancing the Art and Science of Sound
Introduction
Aims and Scopes
- Audio Production and Processing:
Research on techniques and technologies for audio production, including recording, mixing, and mastering, with a focus on both traditional and modern methods. - Spatial and Immersive Audio:
Exploration of spatial audio techniques, including binaural audio and immersive sound environments, which enhance the listener's experience by simulating three-dimensional sound. - Acoustic Measurement and Modeling:
Studies that involve measurement techniques, modeling of acoustic environments, and the development of standards for audio equipment and performance. - Machine Learning and AI in Audio:
The application of machine learning and artificial intelligence to enhance audio processing, sound classification, and audio effects modeling. - Sonification and Data Representation:
Research into the representation of data through sound, exploring how auditory displays can convey information effectively and enhance user engagement. - Networked and Remote Audio Technologies:
Investigation of technologies and methodologies for networked audio performance, including low-latency solutions for remote collaboration and streaming. - Audio Standards and Education:
Discussions on standards in audio engineering, educational practices, and the dissemination of knowledge within the audio engineering community.
Trending and Emerging
- Immersive and Interactive Audio Experiences:
There is a growing focus on immersive audio technologies, including virtual and augmented reality applications, which enhance user engagement through spatial audio techniques. - Machine Learning and Audio Processing Innovations:
Research utilizing machine learning for audio applications is on the rise, showcasing advancements in sound classification, enhancement, and generation techniques. - Real-Time Audio Applications:
Increasing interest in real-time audio processing and analysis, particularly in networked performance settings, reflects the demand for low-latency solutions in collaborative audio environments. - Sonification for Data Representation:
Emerging research into sonification techniques highlights the relevance of audio in representing complex data sets, indicating a cross-disciplinary interest in audio engineering. - Sustainability in Audio Engineering:
A trend towards sustainable practices in audio engineering is emerging, focusing on energy-efficient technologies and eco-friendly materials in audio production.
Declining or Waning
- Traditional Analog Audio Techniques:
Research focused on analog audio processing and recording techniques has seen a decline, possibly due to the industry's shift towards digital technologies and the increasing popularity of software-based solutions. - Basic Acoustic Theory:
While foundational acoustic theories remain important, there appears to be a waning interest in basic theoretical discussions, with more emphasis now on practical applications and advanced methodologies. - Physical Media Preservation Techniques:
Research related to the preservation and restoration of physical media, such as vinyl records and tapes, has decreased, likely due to the industry's digital transformation and the growing focus on digital audio formats. - Simple Audio Effects and Processing:
Studies on basic audio effects processing have lessened, as the industry moves towards more complex sound design and processing techniques driven by machine learning and AI.
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