Audio Signal Processing and Coding
By Andreas S. Spanias, T. Painter, V. Atti. 2007
187 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
- Björn Schuller
- Florian Eyben
- Zixing Zhang
- Eunmi L. Oh
- Lars F. Villemoes
- Per Hedelin
- Vinay Melkote
- Dagmar M. Schuller
In Signal Processing
- Björn Schuller
- Florian Eyben
- Zixing Zhang
- Jun Deng
- Lars F. Villemoes
- Per Hedelin
- Vinay Melkote
- D. Jia
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”
- Introduction to Digital Speech Processing (2007, background): “These coders are widely deployed in MP3 and AAC players and for audio in digital television systems [120].”
- Temporal Noise Shaping with Companding (2018, background): “There are two very successful control strategies for reducing pre-echo artifacts [1].”
- Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration (2019, background): “This is commonly due to the fact that the amount of bits required to keep the amplitude of quantization noise below the masked threshold is insufficient, leading to audible noise, so-called spectral holes, or due to signal bandwidth reduction [5, 56].”