--- title: "Who cites SpeechT5: Unified-Modal — 73 citing papers" description: "73 papers of the Elamur Research library cite «SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing»…" canonical: "https://research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SpeechT5: Unified-Modal Encoder-Decoder…](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) / cited by # Who cites «SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing» 73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing»](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) 1. [**Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers arXiv:2301.02111**Chengyi Wang, Sanyuan Chen, Yu Wu, et al.*2023 · 333 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/) 2. [**MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities arXiv:2308.02490**Weihao Yu, Zhengyuan Yang, Linjie Li, et al.*2023 · 329 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-mm-vet-evaluating-large-multimodal/) 3. [**Qwen2-Audio Technical Report arXiv:2407.10759**Yunfei Chu, Jin Xu, Qian Yang, et al.*2024 · 232 citations*](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/) 4. [**Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models arXiv:2311.07919**Yunfei Chu, Jin Xu, Xiaohuan Zhou, et al.*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/chu-2023-qwen-audio-advancing-universal/) **[Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/kharitonov-2023-speak-read-prompt-high-fidelity/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Eugene Kharitonov, Damien Vincent, Zalán Borsos, et al.*2023 · 143 citations* [**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/) **[PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaolin Zhu, Shangjie Li, Yikun Lei, et al.*2023 · 32 citations* [**ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development**Yanir Marmor, Kinneret Misgav, Yair Lifshitz*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/marmor-2023-ivrit-ai-comprehensive-dataset-hebrew/) [**Ara-Best-RQ: Multi Dialectal Arabic SSL arXiv:2603.21900**Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elleuch-2026-ara-best-rq-multi-dialectal/) **[CATENG Submission for the IWSLT 2026: Dialectal and Low-resource Speech Translation Task](https://md.research.elamur.ai/free/en/papers/zevallos-2026-cateng-submission-iwslt-2026-dialectal/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Rodolfo Joel Zevallos, Marc Casals, John E. Ortega, et al.*2026 · 1 citation* **[Team QUESPA System Submission for the IWSLT 2026 Dialectal and Low-resource Speech Translation Task](https://md.research.elamur.ai/free/en/papers/ortega-2026-team-quespa-system-submission-iwslt/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro, et al.*2026 · 1 citation* [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs arXiv:2601.12494**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/) 61 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) — SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing