A good audio codec for live applications such as telecommunication is characterized by
three key properties:(1) compression, ie the bitrate that is required to transmit the signal …

Estimation of perceptual quality in audio and speech is possible using a variety of methods.
The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio …

Speech coding is the process of compressing speech signals for transmission and storage
in communication systems. In recent years, speech coding has become increasingly …

The recent emergence of machine-learning based generative models for speech suggests a
significant reduction in bit rate for speech codecs is possible. However, the performance of …

Speech is the most common form of human communication, and many conversations use
digital communication links. For efficient transmission, acoustic speech waveforms are …

Neural speech synthesis algorithms are a promising new approach for coding speech at
very low bitrate. They have so far demonstrated quality that far exceeds traditional vocoders …

Deep-learning based methods have shown their advantages in audio coding over traditional
ones but limited attention has been paid on real-time communications (RTC). This paper …

Diffusion models can be viewed as mapping points in a high-dimensional latent space onto
a low-dimensional learned manifold, typically an image manifold. The intermediate values …

The voice mode of the Opus audio coder can compress wideband speech at bit rates
ranging from 6 kb/s to 40 kb/s. However, Opus is at its core a waveform matching coder, and …

This paper introduces a novel neural audio codec targeting high waveform sampling rates
and low bitrates named APCodec, which seamlessly integrates the strengths of parametric …