4 accepted papers
Spatial audio is essential for many immersive content services; however, it is challenging to obtain or create it. Recently, multimodal-based ambisonic audio generation has emerged as a promising approach for addressing the limitation. It combines multiple modalities, such as audio and video, and pr…
In this paper, we propose a personalized neural speech codec, envisioning that personalization can reduce the model complexity or improve perceptual speech quality. Despite the common usage of speech codecs where only a single talker is involved on each side of the communication, personalizing a cod…
Low and ultra-low-bitrate neural speech codecs achieved unprecedented coding gain by generating speech signals from compact features. This paper introduces additional coding efficiency in speech coding by reducing the temporal redundancy existing in the frame-level feature sequence via a feature pre…
A process of spectral recovery can enhance the performance of transform-based audio coding by transmitting only a portion of spectral data and recovering the missing spectral data in the decoder. This study proposes an enhanced method of audio coding based on spectral recovery with an adaptive struc…