---
title: "Who cites Junichi Yamagishi — 38 papers of our library"
description: "38 papers of the Elamur Research library cite the works of Junichi Yamagishi, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/junichi-yamagishi/cited-by/"
---
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# Who cites Junichi Yamagishi

43 citations of their works from 38 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · [← Junichi Yamagishi](https://md.research.elamur.ai/free/en/authors/junichi-yamagishi/)

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. [**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/)
3. **[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*
4. [**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/)
5. **[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*
6. [**Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study arXiv:2301.09099**Massa Baali, Tomoki Hayashi, Hamdy Mubarak, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/baali-2023-unsupervised-data-selection-tts-using/)
7. **[Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation](https://md.research.elamur.ai/free/en/papers/baali-2023-arabic-dysarthric-speech-recognition-using/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Massa Baali, Ibrahim Almakky, Shady Shehata, et al.*2023 · 4 citations*
8. **[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*
9. **[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*
10. **[PhonemeDF: A Synthetic Speech Dataset for Audio Deepfake Detection and Naturalness Evaluation](https://md.research.elamur.ai/free/en/papers/nallaguntla-2026-phonemedf-synthetic-speech-dataset-audio/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Vamshi Nallaguntla, Aishwarya R. Fursule, Shruti Kshirsagar, et al.*2026 · 2 citations*
11. **[A Unified Feature Mixture Framework for Joint Speech and Singing Deepfake Detection](https://md.research.elamur.ai/free/en/papers/sharma-2026-unified-feature-mixture-framework-joint/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aastha Sharma, Guangjing Wang*2026*
12. [**Assessing Quality of Experience in Natural Language Generation of German Text arXiv:2608.18888**Dinh Nam Pham, Shushen Manakhimova, Vivien Macketanz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pham-2026-assessing-quality-experience-natural-language/)
13. **[Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech](https://md.research.elamur.ai/free/en/papers/akhtar-2026-bridging-attribution-open-set-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mohd Mujtaba Akhtar, Girish, Farhan Sheth, et al.*2026*
14. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.*2026*
15. **[When depth is redundant: Efficient transformer-based speech anti-spoofing](https://md.research.elamur.ai/free/en/papers/tran-2026-when-depth-is-redundant-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoan My Tran, Damien Lolive, Aghilas Sini, et al.*2026*

23 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/junichi-yamagishi/) — Junichi Yamagishi
