mlsanityData to 14 Oct 2026

Wavenet based low rate speech coding

arXiv 1712.01120 ↗First posted 1 Dec 2017eess.AS cs.SD eess.SPcited by 33

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Abstract (arXiv)

Traditional parametric coding of speech facilitates low rate but provides poor reconstruction quality because of the inadequacy of the model used. We describe how a WaveNet generative speech model can be used to generate high quality speech from the bit stream of a standard parametric coder operating at 2.4 kb/s. We compare this parametric coder with a waveform coder based on the same generative model and show that approximating the signal waveform incurs a large rate penalty. Our experiments confirm the high performance of the WaveNet based coder and show that the speech produced by the system is able to additionally perform implicit bandwidth extension and does not significantly impair recognition of the original speaker for the human listener, even when that speaker has not been used during the training of the generative model.

Key facts. Cited by 33 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2017.

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Citing papers per year: 2021: 9; 2022: 15; 2023: 3; 2024: 4; 2025: 1; 2026: 1.

33 papers.

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  1. 2021SoundStream: An End-to-End Neural Audio Codeccited by 771
  2. 2022High Fidelity Neural Audio Compressioncited by 687
  3. 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
  4. 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 175
  5. 2022It's Raw! Audio Generation with State-Space Modelscited by 171
  6. 2022COIN++: Neural Compression Across Modalitiescited by 82
  7. 2022WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iterationcited by 20
  8. 2025FlowDec: A flow-based full-band general audio codec with high perceptual qualitycited by 15
  9. 2021Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problemcited by 11
  10. 2022Disentangled Feature Learning for Real-Time Neural Speech Codingcited by 10
  11. 2023Generative De-Quantization for Neural Speech Codec via Latent Diffusioncited by 9
  12. 2021Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoderscited by 7
21 more
  1. 2021WaveNet-Based Deep Neural Networks for the Characterization of Anomalous Diffusion (WADNet)cited by 7
  2. 2021HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Codingcited by 7
  3. 2022End-to-End Neural Speech Coding for Real-Time Communicationscited by 7
  4. 2022Latent-Domain Predictive Neural Speech Codingcited by 7
  5. 2021Scalable and Efficient Neural Speech Coding: A Hybrid Designcited by 5
  6. 2021A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Ratecited by 5
  7. 2022Ultra-Low-Bitrate Speech Coding with Pretrained Transformerscited by 5
  8. 2024Gull: A Generative Multifunctional Audio Codeccited by 5
  9. 2022End-to-End Binaural Speech Synthesiscited by 4
  10. 2022Cross-Scale Vector Quantization for Scalable Neural Speech Codingcited by 3
  11. 2022NESC: Robust Neural End-2-End Speech Coding with GANscited by 3
  12. 2024FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Ratescited by 3
  13. 2024Neural Speech and Audio Coding: Modern AI Technology Meets Traditional Codecscited by 2
  14. 2022Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Datasetcited by 1
  15. 2022Conditional variational autoencoder to improve neural audio synthesis for polyphonic music soundcited by 1
  16. 2023MFCCGAN: A Novel MFCC-Based Speech Synthesizer Using Adversarial Learningcited by 1
  17. 2023AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codescited by 1
  18. 2024Audio Decoding by Inverse Problem Solvingcited by 1
  19. 2021Unified Signal Compression Using a GAN with Iterative Latent Representation Optimizationcited by 0
  20. 2022Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNetcited by 0
  21. 2026S-PRESSO: Ultra Low Bitrate Sound Effect Compression With Diffusion Autoencoders And Offline Quantizationcited by 0