We propose a training method for deep neural network (DNN) based source enhancement
to increase objective sound quality assessment (OSQA) scores such as the perceptual …

Object-based audio is an emerging representation for audio content, where content is
represented in a reproduction-format-agnostic way and, thus, produced once for …

We investigated whether a deep neural network (DNN)-based source enhancement function
can be self-optimized by reinforcement learning (RL). The use of a DNN is a powerful …

As the percentage of the population with hearing loss increases, broadcasters are receiving
more complaints about the difficulty in understanding dialog in the presence of background …

For traditional broadcasting formats, implementation of accessible audio strategies for hard
of hearing people have used a binary, intelligibility-based approach. In this approach …

This paper describes a system for encoding and communicating navigable speech
soundfields for applications such as immersive audio/visual conferencing, audio …

The sounds of spectators at football (soccer) are often highlighted-by spectators, tourists,
commentators, journalists, scholars, media producers, etc.-as crucial for the experience of …

This chapter defines problem space from an audio perspective reviewing some of the
current challenges faced in channel‐based audio broadcast. The first section introduces …

The methods of integrity authentication for vector graphics were described at fist, then digital
watermarking for vector graphics was introduced. For vector graphics composed by linear …

This paper describes audio recording, delivery, and rendering for an end-to-end broadcast
system allowing users free navigation of panoramic video content with matching interactive …