A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet
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Abstract (arXiv)
Neural speech synthesis algorithms are a promising new approach for coding speech at very low bitrate. They have so far demonstrated quality that far exceeds traditional vocoders, at the cost of very high complexity. In this work, we present a low-bitrate neural vocoder based on the LPCNet model. The use of linear prediction and sparse recurrent networks makes it possible to achieve real-time operation on general-purpose hardware. We demonstrate that LPCNet operating at 1.6 kb/s achieves significantly higher quality than MELP and that uncompressed LPCNet can exceed the quality of a waveform codec operating at low bitrate. This opens the way for new codec designs based on neural synthesis models.
Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Mar 2019.
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Citing papers per year: 2021: 6; 2022: 4; 2023: 2; 2024: 2; 2025: 1; 2026: 1.
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- 2022High Fidelity Neural Audio Compressioncited by 687
- 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
- 2021A Survey on Neural Speech Synthesiscited by 184
- 2022WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iterationcited by 20
- 2025FlowDec: A flow-based full-band general audio codec with high perceptual qualitycited by 15
- 2023Generative De-Quantization for Neural Speech Codec via Latent Diffusioncited by 9
- 2021Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoderscited by 7
- 2021HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Codingcited by 7
- 2021Scalable and Efficient Neural Speech Coding: A Hybrid Designcited by 5
- 2021A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Ratecited by 5
- 2022NESC: Robust Neural End-2-End Speech Coding with GANscited by 3
- 2024FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Ratescited by 3
4 more
- 2024Neural Speech and Audio Coding: Modern AI Technology Meets Traditional Codecscited by 2
- 2023AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codescited by 1
- 2026The Equalizer: Introducing Shape-Gain Decomposition in Neural Audio Codecscited by 1
- 2022Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNetcited by 0
- 2026The Equalizer: Introducing Shape-Gain Decomposition in Neural Audio Codecs17 Feb 2026
- 2025FlowDec: A flow-based full-band general audio codec with high perceptual quality3 Mar 2025
- 2024FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates26 Sep 2024
- 2024Neural Speech and Audio Coding: Modern AI Technology Meets Traditional Codecs13 Aug 2024
- 2023Generative De-Quantization for Neural Speech Codec via Latent Diffusion14 Nov 2023
- 2023AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes14 Aug 2023
- 2022High Fidelity Neural Audio Compression24 Oct 2022
- 2022WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration3 Oct 2022
- 2022NESC: Robust Neural End-2-End Speech Coding with GANs7 Jul 2022
- 2022Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet22 Feb 2022
- 2021A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate9 Aug 2021
- 2021HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding22 Jul 2021
4 more
- 2021A Survey on Neural Speech Synthesis29 Jun 2021
- 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representations1 Apr 2021
- 2021Scalable and Efficient Neural Speech Coding: A Hybrid Design27 Mar 2021
- 2021Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders12 Feb 2021
- 2022High Fidelity Neural Audio Compressioncited by 687
- 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
- 2021A Survey on Neural Speech Synthesiscited by 184
- 2021Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoderscited by 7
- 2021HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Codingcited by 7
- 2021Scalable and Efficient Neural Speech Coding: A Hybrid Designcited by 5
- 2021A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Ratecited by 5
- 2022NESC: Robust Neural End-2-End Speech Coding with GANscited by 3
- 2024FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Ratescited by 3
- 2024Neural Speech and Audio Coding: Modern AI Technology Meets Traditional Codecscited by 2
- 2023AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codescited by 1
- 2026The Equalizer: Introducing Shape-Gain Decomposition in Neural Audio Codecscited by 1
12 most cited of 13 All 13 (JSON)
- 2026The Equalizer: Introducing Shape-Gain Decomposition in Neural Audio Codecs17 Feb 2026
- 2024FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates26 Sep 2024
- 2024Neural Speech and Audio Coding: Modern AI Technology Meets Traditional Codecs13 Aug 2024
- 2023AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes14 Aug 2023
- 2022High Fidelity Neural Audio Compression24 Oct 2022
- 2022NESC: Robust Neural End-2-End Speech Coding with GANs7 Jul 2022
- 2022Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet22 Feb 2022
- 2021A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate9 Aug 2021
- 2021HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding22 Jul 2021
- 2021A Survey on Neural Speech Synthesis29 Jun 2021
- 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representations1 Apr 2021
- 2021Scalable and Efficient Neural Speech Coding: A Hybrid Design27 Mar 2021
12 newest of 13 All 13 (JSON)