Compression Artifacts in Perceptual Audio Coding
By Chi-Min Liu, Han-Wen Hsu, Wen-Chieh Lee. 2008
55 citations recorded by the source corpus.
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
In Signal Processing
- Mark P. Johnson
- N. A. Soto
- Lars F. Villemoes
- Peter T. Madsen
- Per Hedelin
- Vinay Melkote
- D. Jia
- Arijit Biswas
Citations in the corpus
- Audio Codec Enhancement with Generative Adversarial Networks (2020, methodology): “For example, quantization noise in the quiet region prior to a transient event in a decoded audio signal can be perceived as pre-echoes [1],[2] at the attack portions of”
- Studying the behaviour and sensory ecology of marine mammals using acoustic recording tags: a review (2009, background): “Higher compression ratios are possible with lossy compression algorithms such as MP3 (e.g. c = 8), but these introduce artefacts in the recording that may reduce the value of the data (Liu et al 2008).”
- Temporal Noise Shaping with Companding (2018, methodology): “One option is to employ the TNS tool, but it is well-known that TNS introduces artificial pre- and post-aliasing artifacts [15] due to the time-domain aliasing of MDCT.”