--- title: "Who cites High-Fidelity Audio Compression — 68 citing papers" description: "68 papers of the Elamur Research library cite «High-Fidelity Audio Compression with Improved RVQGAN», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/kumar-2023-high-fidelity-audio-compression-improved/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/kumar-2023-high-fidelity-audio-compression-improved/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [High-Fidelity Audio Compression with Improved…](https://md.research.elamur.ai/free/en/papers/kumar-2023-high-fidelity-audio-compression-improved/) / cited by # Who cites «High-Fidelity Audio Compression with Improved RVQGAN» 68 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← back to «High-Fidelity Audio Compression with Improved RVQGAN»](https://md.research.elamur.ai/free/en/papers/kumar-2023-high-fidelity-audio-compression-improved/) 1. [**Moshi: a speech-text foundation model for real-time dialogue arXiv:2410.00037**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 157 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/) 2. [**Seed-TTS: A Family of High-Quality Versatile Speech Generation Models arXiv:2406.02430**Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.*2024 · 71 citations*](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/) 3. **[Recent Advances in Speech Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/cui-2025-recent-advances-speech-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.*2025 · 69 citations* 4. [**GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot arXiv:2412.02612**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-glm-4-voice-intelligent/) 5. **[Autoregressive Speech Synthesis without Vector Quantization](https://md.research.elamur.ai/free/en/papers/meng-2025-autoregressive-speech-synthesis-without-vector/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingwei Meng, Long Zhou, Shujie Liu, et al.*2025 · 25 citations* 6. [**Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction arXiv:2502.17239**Tianpeng Li, Jun Liu, Tao Zhang, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-audio-unified-framework/) 7. [**Qwen3-TTS Technical Report arXiv:2601.15621**Hangrui Hu, Xinfa Zhu, Ting He, et al.*2026 · 14 citations*](https://md.research.elamur.ai/free/en/papers/hu-2026-qwen3-tts-technical-report/) 8. [**Scaling Speech-Text Pre-training with Synthetic Interleaved Data arXiv:2411.17607**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-scaling-speech-text-pre-training/) 9. **[Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation](https://md.research.elamur.ai/free/en/papers/kim-2024-paralinguistics-aware-speech-empowered-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.*2024 · 13 citations* 10. **[ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control](https://md.research.elamur.ai/free/en/papers/ji-2025-controlspeech-simultaneous-independent-zero-shot/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengpeng Ji, Qian Chen, Wen Wang, et al.*2025 · 10 citations* 11. [**ERNIE 5.0 Technical Report arXiv:2602.04705**Haifeng Wang, Hua Wu, Tian Wu, et al.*2026 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2026-ernie-5-0-technical/) 12. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.*2026 · 4 citations* 13. **[ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching](https://md.research.elamur.ai/free/en/papers/zhu-2026-zipvoice-dialog-non-autoregressive-spoken/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Zhu, Wei Kang, Liyong Guo, et al.*2026 · 3 citations* 14. **[BSCodec: A Band-Split Neural Codec for High-Quality Universal Audio Reconstruction](https://md.research.elamur.ai/free/en/papers/wang-2026-bscodec-band-split-neural-codec/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Wang, Jiatong Shi, Jinchuan Tian, et al.*2026 · 1 citation* 15. **[UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models](https://md.research.elamur.ai/free/en/papers/shi-2026-ultraeval-audio-unified-framework-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qundong Shi, Jie Zhou, Biyuan Lin, et al.*2026 · 1 citation* 16. **[AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling](https://md.research.elamur.ai/free/en/papers/shi-2026-affectcodec-emotion-preserving-neural-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiacheng Shi, Hongfei Du, Xinyuan Song, et al.*2026* 17. [**CodecMOS-Accent: A MOS Benchmark of Resynthesized and TTS Speech from Neural Codecs Across English Accents arXiv:2603.14328**Wen-Chin Huang, Nicholas Sanders, Erica Cooper*2026*](https://md.research.elamur.ai/free/en/papers/huang-2026-codecmos-accent-mos-benchmark-resynthesized/) 18. **[Computational Narrative Understanding for Expressive Text-to-Speech](https://md.research.elamur.ai/free/en/papers/michel-2026-computational-narrative-understanding-expressive-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gaspard Michel, Elena V. Epure, Christophe Cerisara*2026* 19. **[DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio](https://md.research.elamur.ai/free/en/papers/nakata-2026-dialoguesidon-recovering-full-duplex-dialogue/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Wataru Nakata, Yuki Saito, Kazuki Yamauchi, et al.*2026* 49 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/kumar-2023-high-fidelity-audio-compression-improved/) — High-Fidelity Audio Compression with Improved RVQGAN