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Title: GitHub - xiph/LPCNet: Efficient neural speech synthesis

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Description: Efficient neural speech synthesis. Contribute to xiph/LPCNet development by creating an account on GitHub.

Open Graph Description: Efficient neural speech synthesis. Contribute to xiph/LPCNet development by creating an account on GitHub.

X Description: Efficient neural speech synthesis. Contribute to xiph/LPCNet development by creating an account on GitHub.

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Very Low Complexity Speech Synthesis Using Framewise Autoregressive GAN (FARGAN) with Pitch Predictionhttps://arxiv.org/pdf/2405.21069
demo pagehttps://ahmed-fau.github.io/fargan_demo/
source codehttps://gitlab.xiph.org/xiph/opus/-/tree/main/dnn/torch/fargan
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https://patch-diff.githubusercontent.com/xiph/LPCNet#lpcnet
LPCNet: Improving Neural Speech Synthesis Through Linear Predictionhttps://jmvalin.ca/papers/lpcnet_icassp2019.pdf
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNethttps://jmvalin.ca/papers/improved_lpcnet.pdf
End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimationhttps://jmvalin.ca/papers/lpcnet_end2end.pdf
A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNethttps://jmvalin.ca/papers/lpcnet_codec.pdf
Improving Opus Low Bit Rate Quality with Neural Speech Synthesishttps://jmvalin.ca/papers/opusnet.pdf
Real-Time Packet Loss Concealment With Mixed Generative and Predictive Modelhttps://jmvalin.ca/papers/lpcnet_plc.pdf
Low-Bitrate Redundancy Coding of Speech Using a Rate-Distortion-Optimized Variational Autoencoderhttps://jmvalin.ca/papers/valin_dred.pdf
blog posthttps://www.amazon.science/blog/neural-encoding-enables-more-efficient-recovery-of-lost-audio-packets
https://patch-diff.githubusercontent.com/xiph/LPCNet#introduction
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Open Speech and Language Resourceshttps://www.openslr.org/
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LPCNet: DSP-Boosted Neural Speech Synthesishttps://people.xiph.org/~jm/demo/lpcnet/
A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNethttps://people.xiph.org/~jm/demo/lpcnet_codec/
https://media.xiph.org/lpcnet/data/https://media.xiph.org/lpcnet/data/
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