SoundStream: An End-to-End Neural Audio Codec
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Cited by 92 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We present SoundStream, a novel neural audio codec that can efficiently compress speech, music and general audio at bitrates normally targeted by speech-tailored codecs. SoundStream relies on a model architecture composed by a fully convolutional encoder/decoder network and a residual vector quantizer, which are trained jointly end-to-end. Training leverages recent advances in text-to-speech and speech enhancement, which combine adversarial and reconstruction losses to allow the generation of high-quality audio content from quantized embeddings. By training with structured dropout applied to quantizer layers, a single model can operate across variable bitrates from 3kbps to 18kbps, with a negligible quality loss when compared with models trained at fixed bitrates. In addition, the model is amenable to a low latency implementation, which supports streamable inference and runs in real time on a smartphone CPU. In subjective evaluations using audio at 24kHz sampling rate, SoundStream at 3kbps outperforms Opus at 12kbps and approaches EVS at 9.6kbps. Moreover, we are able to perform joint compression and enhancement either at the encoder or at the decoder side with no additional latency, which we demonstrate through background noise suppression for speech.
Key facts. Cited by 756 papers in the map (data through 7 Oct 2026). Builds on 34 of its 60 references that are in the map. First posted on arXiv 7 Jul 2021.
Builds on
34 of 60 references.
References · 34
- 2017Neural Discrete Representation Learningcited by 4,650
- 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
- 2017FiLM: Visual Reasoning with a General Conditioning Layercited by 2,286
- 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
- 2019Generating Diverse High-Fidelity Images with VQ-VAE-2cited by 1,376
- 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
- 2015Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)cited by 1,061
- 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
- 2017The Perception-Distortion Tradeoffcited by 582
- 2020Jukebox: A Generative Model for Musiccited by 535
- 2019MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesiscited by 351
- 2020High-Fidelity Generative Image Compressioncited by 331
22 more
- 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
- 2018Efficient Neural Audio Synthesiscited by 218
- 2017Parallel WaveNet: Fast High-Fidelity Speech Synthesiscited by 214
- 2020DDSP: Differentiable Digital Signal Processingcited by 177
- 2017SEGAN: Speech Enhancement Generative Adversarial Networkcited by 165
- 2016SampleRNN: An Unconditional End-to-End Neural Audio Generation Modelcited by 110
- 2018LPCNet: Improving Neural Speech Synthesis Through Linear Predictioncited by 109
- 2020ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metriccited by 76
- 2018The challenge of realistic music generation: modelling raw audio at scalecited by 63
- 2017A Wavenet for Speech Denoisingcited by 47
- 2019Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decodercited by 47
- 2020A Spectral Energy Distance for Parallel Speech Synthesiscited by 42
- 2020SEANet: A Multi-modal Speech Enhancement Networkcited by 35
- 2017Wavenet based low rate speech codingcited by 32
- 2018Speech Denoising with Deep Feature Lossescited by 26
- 2020Real-time Speech Frequency Bandwidth Extensioncited by 22
- 2017End-to-End Optimized Speech Coding with Deep Neural Networkscited by 21
- 2017Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognitioncited by 19
- 2021Generative Speech Coding with Predictive Variance Regularizationcited by 18
- 2019Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Codingcited by 15
- 2020Audio Codec Enhancement with Generative Adversarial Networkscited by 11
- 2021Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoderscited by 7
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Citing papers per year: 2021: 4; 2022: 30; 2023: 99; 2024: 205; 2025: 240; 2026: 178.
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