---
title: "Who cites UTMOS: UTokyo-SaruLab — 80 citing papers"
description: "80 papers of the Elamur Research library cite «UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022», found in their…"
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---
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# Who cites «UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022»

80 papers of our library cite it (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · [← back to «UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022»](https://md.research.elamur.ai/free/en/papers/saeki-2022-utmos-utokyo-sarulab-system-voicemos/)

1. **[F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching](https://md.research.elamur.ai/free/en/papers/chen-2025-f5-tts-fairytaler-that-fakes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yushen Chen, Zhikang Niu, Ziyang Ma, et al.*2025 · 152 citations*
2. [**LLaMA-Omni: Seamless Speech Interaction with Large Language Models arXiv:2409.06666**Qingkai Fang, Shoutao Guo, Yan Zhou, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/fang-2024-llama-omni-seamless-speech-interaction/)
3. [**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/)
4. **[OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation](https://md.research.elamur.ai/free/en/papers/zhang-2025-omniflatten-end-end-gpt-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qinglin Zhang, Luyao Cheng, Chong Deng, et al.*2025 · 27 citations*
5. **[LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis](https://md.research.elamur.ai/free/en/papers/fang-2025-llama-omni-2-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Fang, Yan Zhou, Shoutao Guo, et al.*2025 · 20 citations*
6. **[Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chih-Kai Yang, Neo S. Ho, Hung-yi Lee*2025 · 17 citations*
7. [**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/)
8. **[GLOBE: A High-quality English Corpus with Global Accents for Zero-shot Speaker Adaptive Text-to-Speech](https://md.research.elamur.ai/free/en/papers/wang-2024-globe-high-quality-english-corpus/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Wenbin Wang, Yang Song, Sanjay Jha*2024 · 16 citations*
9. [**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/)
10. **[QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions](https://md.research.elamur.ai/free/en/papers/wang-2025-qualispeech-speech-quality-assessment-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siyin Wang, Wenyi Yu, Xianzhao Chen, et al.*2025 · 12 citations*
11. **[Self-supervised Speech Representations Still Struggle with African American Vernacular English](https://md.research.elamur.ai/free/en/papers/chang-2024-self-supervised-speech-representations-still/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Kalvin Chang, Yi-Hui Chou, Jiatong Shi, et al.*2024 · 10 citations*
12. **[VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation](https://md.research.elamur.ai/free/en/papers/peng-2026-voicestar-robust-zero-shot-autoregressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Puyuan Peng, Zhisheng Zheng, Shang-Wen Li, et al.*2026 · 4 citations*
13. **[AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation](https://md.research.elamur.ai/free/en/papers/manakul-2026-audiojudge-understanding-what-works-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Potsawee Manakul, Woody Haosheng Gan, Michael J Ryan, et al.*2026 · 3 citations*
14. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wang, Jinghua Zhao, Yifan Yang, et al.*2026 · 3 citations*
15. **[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*
16. **[Efficient Training for Cross-lingual Speech Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-efficient-training-cross-lingual-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yan Zhou, Qingkai Fang, Yun Hong, et al.*2026 · 2 citations*
17. [**Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis arXiv:2601.13802**Yushen Chen, Junzhe Liu, Yujie Tu, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/chen-2026-habibi-laying-open-source-foundation/)
18. **[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*
19. **[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*
20. **[Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression](https://md.research.elamur.ai/free/en/papers/sun-2026-beyond-sentence-level-labels-integrating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Sun, Chenyang Le, Wei Wang, et al.*2026*
21. **[Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios](https://md.research.elamur.ai/free/en/papers/pan-2026-comprehensive-benchmarking-long-form-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changhao Pan, Rui Yang, Han Wang, et al.*2026*
22. **[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*
23. **[Exploring Cross-Lingual Voice Conversion Methods for Anonymizing Low-Resource Text-to-Speech](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-cross-lingual-voice-conversion/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shenran Wang, Aidan Pine, Mengzhe Geng*2026*
24. **[F-Actor: Controllable Conversational Behavior in Full-Duplex Models](https://md.research.elamur.ai/free/en/papers/zufle-2026-f-actor-controllable-conversational-behavior/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Maike Züfle, Ondrej Klejch, Nicholas Sanders, et al.*2026*
25. **[ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment](https://md.research.elamur.ai/free/en/papers/yun-2026-immersivetts-environment-aware-text-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee*2026*
26. [**Quantifying Speaker Embedding Phonological Rule Interactions in Accented Speech Synthesis arXiv:2601.14417**Thanathai Lertpetchpun, Yoonjeong Lee, Thanapat Trachu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lertpetchpun-2026-quantifying-speaker-embedding-phonological-rule/)
27. **[UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment](https://md.research.elamur.ai/free/en/papers/wang-2026-unisrm-unified-speech-reward-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.*2026*
28. **[UniVocal: Unified Speech-Singing Code-Switching Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-univocal-unified-speech-singing-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YuFei Shi, Qian Chen, Wen Wang, et al.*2026*
29. **[Using the Mimi codec for metalinguistic representations](https://md.research.elamur.ai/free/en/papers/saloev-2026-mimi-codec-metalinguistic-representations/) [Workshop on the Bridges and Gaps between Formal and Computational Linguistics](https://md.research.elamur.ai/free/en/venues/brigap/)**Artem Saloev, Erin Pacquetet, Nicolas Ballier*2026*

51 more papers of our library cite it; they have no page here yet.

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