Audio-Visual Technology

Report on Current Developments in Audio-Visual Technology

General Direction of the Field

The latest research in audio-visual technology is pushing the boundaries of interactivity and realism in multimedia experiences. A significant trend is the integration of advanced computational methods to enhance user engagement and immersion in extended reality (XR) environments, video production, and e-commerce platforms. Innovations in spatial audio, audio-visual retrieval, and real-time audio processing are leading to more intuitive and responsive systems that adapt to user behavior and context.

In the realm of XR, there is a notable shift towards optimizing spatial audio cues to improve user navigation and interaction within virtual spaces. This involves sophisticated algorithms that account for human auditory perception limitations, aiming to provide clearer and more accurate audio feedback. Similarly, advancements in audio-visual retrieval are focusing on capturing non-textual aspects of speech, such as accent and mood, to enhance the accuracy and relevance of multimedia content retrieval.

Real-time audio processing is also seeing significant improvements, particularly in the area of source separation for virtual meetings. These developments aim to create clearer communication environments by isolating and enhancing speech within defined spatial areas, while suppressing background noise.

Noteworthy Developments

  • Auptimize: Introduces a novel approach to spatial audio placement in XR, significantly reducing user errors in sound source identification.
  • BrewCLIP: Achieves substantial performance gains in audio-visual retrieval by leveraging non-textual speech information, setting a new state-of-the-art.
  • MCDubber: Enhances video dubbing by considering multimodal context, significantly improving the expressiveness and alignment of dubbed audio with video content.
  • Video-Foley: Revolutionizes Foley sound synthesis with a novel two-stage approach that ensures high controllability and synchronization between audio and video.

These developments not only advance the technical capabilities of audio-visual technology but also open up new possibilities for more immersive and interactive multimedia experiences across various applications.

Sources

Auptimize: Optimal Placement of Spatial Audio Cues for Extended Reality

BrewCLIP: A Bifurcated Representation Learning Framework for Audio-Visual Retrieval

Efficient Area-based and Speaker-Agnostic Source Separation

Audio Match Cutting: Finding and Creating Matching Audio Transitions in Movies and Videos

MCDubber: Multimodal Context-Aware Expressive Video Dubbing

Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound

Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval

D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching