Speex: A Free Codec For Free Speech
By Jean-Marc Valin. 2016
80 citations recorded by the source corpus.
The Speex project has been started in 2002 to address the need for a free, open-source speech codec. Speex is based on the Code Excited Linear Prediction (CELP) algorithm and, unlike the previously existing Vorbis codec, is optimised for transmitting speech for low latency communication over an unreliable packet network. This paper presents an overview of Speex, the technology involved in it and how it can be used in applications. The most recent developments in Speex, such as the fixed-point port, acoustic echo cancellation and noise suppression are also addressed.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing
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In Computational Mechanics
- Wei-Ning Hsu
- Adam Polyak
- Kushal Lakhotia
- Evgeny Kharitonov
- Oriol Vinyals
- Jade Copet
- Yazhe Li
- Emmanuel Dupoux
In Computer Vision and Pattern Recognition
- Wei-Ning Hsu
- Yossi Adi
- Luc Van Gool
- Dacheng Tao
- Trevor Darrell
- Andrew Zisserman
- Ming-Hsuan Yang
- Xiaogang Wang
In Signal Processing
- Wei-Ning Hsu
- Yossi Adi
- Jade Copet
- Abdel-rahman Mohamed
- Emmanuel Dupoux
- Adam Polyak
- Evgeny Kharitonov
- Kushal Lakhotia
Citations in the corpus
- Speech Resynthesis from Discrete Disentangled Self-Supervised Representations (2021, methodology): “[53] J.-M. Valin, “Speex: A free codec for free speech,” arXiv preprint arXiv:1602.08668, 2016.”
- Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder (2019, methodology): “We compress the anchor samples with Speex [16] at 2.”