We present SoundStream, a novel neural audio codec that can efficiently compress speech,
music and general audio at bitrates normally targeted by speech-tailored codecs …

As deep speech enhancement algorithms have recently demonstrated capabilities greatly
surpassing their traditional counterparts for suppressing noise, reverberation and echo …

Real-time audio communications over IP have become essential to our daily lives. Packet-
switched networks, however, are inherently prone to jitter and data losses, thus creating a …

Packet loss is one of the main reasons for speech quality degradation in voice over internet
phone (VOIP) calls. However, the existing packet loss concealment (PLC) algorithms are …

Packet loss concealment (PLC) is challenging in concealing missing contents both plausibly
and naturally when there are only limited available context to use. Recently deep-learning …

Neural audio coding has shown very promising results recently in the literature to largely
outperform traditional codecs but limited attention has been paid on its error resilience …

Despite the significant advancements in networking technologies, transmission of data
packets in real-time, particularly in speech communications, continues to face challenges …

Voice-related online communication applications are vulnerable to disruptions from complex
environments, such as packet loss in IP-switch channels and ambient noise, which hinder …

This paper presents a deep learning model for audio Packet Loss Concealment (PLC) for
real time communications that is accurate, lightweight, with a low inference time suitable for …

Error resilient tools like Packet Loss Concealment (PLC) and Forward Error Correction
(FEC) are essential to maintain a reliable speech communication for applications like Voice …