ITU-T G.729 Annex A: reduced complexity 8 kb/s CS-ACELP codec for digital simultaneous voice and data

By R. Salami, C. Laflamme, B. Bessette, J. Adoul. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Kai Zhen
2. Mi Suk Lee
3. Jongmo Sung
4. Minje Kim
5. Seungkwon Beack
6. Yi-Chiao Wu
7. Jungwook Choi
8. Neil Zeghidour

Citations in the corpus

• Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding (2019, background): “Many DNN-based codecs achieve both low bitrates and high perceptual quality, two main targets for speech codecs [17][18][19], but with a high model complexity.”