High-Quality, Low-Delay Music Coding in the Opus Codec
By Jean-Marc Valin, Gregory Maxwell, Timothy B. Terriberry, Koen Vos. 2013
150 citations recorded by the source corpus.
The IETF recently standardized the Opus codec as RFC6716. Opus targets a wide range of real-time Internet applications by combining a linear prediction coder with a transform coder. We describe the transform coder, with particular attention to the psychoacoustic knowledge built into the format. The result out-performs existing audio codecs that do not operate under real-time constraints.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jan Skoglund
- Jean-Marc Valin
- Dejan Markovic
- Israel Dejene Gebru
- Alexander Richard
- Yi-Chiao Wu
- Juergen Gall
- Hilde Kuehne
In Signal Processing
- Jan Skoglund
- Jean-Marc Valin
- Yi-Chiao Wu
- Alexander Richard
- Dejan Markovic
- Israel Dejene Gebru
- Frank K. Soong
- Yossi Adi
Citations in the corpus
- Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec (2023, methodology): “For 24 kHz audio signal coding, SoundStream is comparative to the modern state-of-the-art parametric codecs, Opus [10] (12 kbps) and EVS [11] (9.”
- Improving Opus Low Bit Rate Quality with Neural Speech Synthesis (2019, methodology): “band (8 kHz sampling frequency) to fullband (48 kHz sampling frequency) speech and audio. It is based on a combination of a linear predictive coding part (SILK [14]) and a transform coding part (CELT [15]). In this work, we focus on wideband speech, i.e., sampled at 16 kHz, using the SILK mode. For ”
- A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement (2017, methodology): “We choose to divide the spectrum into the same approximation of the Bark scale [12] as the Opus codec [13] uses.”