---
title: "Who cites Daniel Park — 423 papers of our library"
description: "423 papers of the Elamur Research library cite the works of Daniel Park, found in their bibliographies; the most cited first."
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# Who cites Daniel Park

489 citations of their works from 423 papers of our library (of the 149,439 whose bibliographies we read) · 54 with a page here, the most cited first · [← Daniel Park](https://md.research.elamur.ai/free/en/authors/daniel-park/)

1. **[Conformer: Convolution-augmented Transformer for Speech Recognition](https://md.research.elamur.ai/free/en/papers/gulati-2020-conformer-convolution-augmented-transformer-speech/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Anmol Gulati, James Qin, Chung-Cheng Chiu, et al.*2020 · 3,475 citations*
2. **[HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units](https://md.research.elamur.ai/free/en/papers/hsu-2021-hubert-self-supervised-speech-representation/) [IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/)**Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.*2021 · 3,458 citations*
3. [**Robust Speech Recognition via Large-Scale Weak Supervision arXiv:2212.04356**Alec Radford, Jong Wook Kim, Tao Xu, et al.*2022 · 2,546 citations*](https://md.research.elamur.ai/free/en/papers/radford-2022-robust-speech-recognition-large-scale/)
4. [**Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848**Qizhe Xie, Zihang Dai, Eduard Hovy, et al.*2019 · 1,871 citations*](https://md.research.elamur.ai/free/en/papers/xie-2019-unsupervised-data-augmentation-consistency-training/)
5. **[wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.*2020 · 1,421 citations*
6. **[XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/babu-2021-xls-r-self-supervised-cross/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Arun Babu, Changhan Wang, Andros Tjandra, et al.*2021 · 807 citations*
7. **[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation](https://md.research.elamur.ai/free/en/papers/wang-2021-voxpopuli-large-scale-multilingual-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changhan Wang, Morgane Riviere, Ann Lee, et al.*2021 · 534 citations*
8. **[MLS: A Large-Scale Multilingual Dataset for Speech Research](https://md.research.elamur.ai/free/en/papers/pratap-2020-mls-large-scale-multilingual-dataset/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Vineel Pratap, Qiantong Xu, Anuroop Sriram, et al.*2020 · 523 citations*
9. **[FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech](https://md.research.elamur.ai/free/en/papers/conneau-2022-fleurs-few-shot-learning-evaluation/) [IEEE Spoken Language Technology Workshop (SLT)](https://md.research.elamur.ai/free/en/venues/ieee-spoken-language-technology-workshop-slt/)**Alexis Conneau, Min Ma, Simran Khanuja, et al.*2022 · 405 citations*
10. [**Scaling Speech Technology to 1,000+ Languages arXiv:2305.13516**Vineel Pratap, Andros Tjandra, Bowen Shi, et al.*2023 · 334 citations*](https://md.research.elamur.ai/free/en/papers/pratap-2023-scaling-speech-technology-1-000/)
11. [**Perceiver: General Perception with Iterative Attention arXiv:2103.03206**Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.*2021 · 269 citations*](https://md.research.elamur.ai/free/en/papers/jaegle-2021-perceiver-general-perception-iterative-attention/)
12. **[Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq](https://md.research.elamur.ai/free/en/papers/wang-2020-fairseq-s2t-fast-speech-text/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Changhan Wang, Yun Tang, Xutai Ma, et al.*2020 · 259 citations*
13. [**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 · 184 citations*](https://md.research.elamur.ai/free/en/papers/chu-2023-qwen-audio-advancing-universal/)
14. **[Direct Speech-to-Speech Translation With Discrete Units](https://md.research.elamur.ai/free/en/papers/lee-2022-direct-speech-speech-translation-discrete/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ann Lee, Peng-Jen Chen, Changhan Wang, et al.*2022 · 174 citations*
15. [**Seamless: Multilingual Expressive and Streaming Speech Translation arXiv:2312.05187**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamless-multilingual-expressive-streaming-speech/)
16. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 172 citations*
17. **[FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 152 citations*
18. **[Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?](https://md.research.elamur.ai/free/en/papers/bentivogli-2021-cascade-versus-direct-speech-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luisa Bentivogli, Mauro Cettolo, Marco Gaido, et al.*2021 · 124 citations*
19. **[Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task](https://md.research.elamur.ai/free/en/papers/tang-2021-improving-speech-translation-understanding-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yun Tang, Juan Pino, Xian Li, et al.*2021 · 117 citations*
20. **[Logic-Guided Data Augmentation and Regularization for Consistent Question Answering](https://md.research.elamur.ai/free/en/papers/asai-2020-logic-guided-data-augmentation-regularization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akari Asai, Hannaneh Hajishirzi*2020 · 113 citations*
21. **[Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.*2020 · 100 citations*
22. **[QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus](https://md.research.elamur.ai/free/en/papers/mubarak-2021-qasr-qcri-aljazeera-speech-resource/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury, et al.*2021 · 82 citations*
23. **[Arabic Speech Recognition by End-to-End, Modular Systems and Human](https://md.research.elamur.ai/free/en/papers/hussein-2021-arabic-speech-recognition-end-end/) [Computer Speech & Language](https://md.research.elamur.ai/free/en/venues/computer-speech-language/)**Amir Hussein, Shinji Watanabe, Ahmed Ali*2021 · 76 citations*
24. **[Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR](https://md.research.elamur.ai/free/en/papers/chowdhury-2021-towards-one-model-rule-all/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali, et al.*2021 · 56 citations*
25. **[SLM: Bridge the thin gap between speech and text foundation models](https://md.research.elamur.ai/free/en/papers/wang-2023-slm-bridge-thin-gap-between/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/)**Mingqiu Wang, Wei Han, Izhak Shafran, et al.*2023 · 54 citations*
26. **[On the limit of English conversational speech recognition](https://md.research.elamur.ai/free/en/papers/tuske-2021-limit-english-conversational-speech-recognition/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Zoltan Tuske, George Saon, Brian Kingsbury*2021 · 49 citations*
27. **[ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic-English](https://md.research.elamur.ai/free/en/papers/hamed-2022-arzen-st-three-way-speech/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Injy Hamed, Nizar Habash, Slim Abdennadher, et al.*2022 · 26 citations*
28. [**Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding arXiv:2202.05209**Peter Sullivan, Toshiko Shibano, Muhammad Abdul-Mageed*2022 · 16 citations*](https://md.research.elamur.ai/free/en/papers/sullivan-2022-improving-automatic-speech-recognition-non/)
29. **[MASRI-HEADSET: A Maltese Corpus for Speech Recognition](https://md.research.elamur.ai/free/en/papers/mena-2020-masri-headset-maltese-corpus-speech/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Carlos Daniel Hernandez Mena, Albert Gatt, Andrea DeMarco, et al.*2020 · 16 citations*
30. **[AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition](https://md.research.elamur.ai/free/en/papers/ahamad-2020-accentdb-database-non-native-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Afroz Ahamad, Ankit Anand, Pranesh Bhargava*2020 · 11 citations*
31. **[Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use](https://md.research.elamur.ai/free/en/papers/parcollet-2025-loquacious-set-25-000-hours/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Titouan Parcollet, Yuan Tseng, Shucong Zhang, et al.*2025 · 7 citations*
32. **[Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/abdullah-2025-voice-conversion-improves-cross-domain/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Badr M. Abdullah, Matthew Baas, Bernd Mobius, et al.*2025 · 7 citations*
33. **[ZIPA: A family of efficient models for multilingual phone recognition](https://md.research.elamur.ai/free/en/papers/zhu-2025-zipa-family-efficient-models-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jian Zhu, Farhan Samir, Eleanor Chodroff, et al.*2025 · 7 citations*
34. **[Iqra'Eval: A Shared Task on Qur'anic Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/kheir-2025-iqra-eval-shared-task-qur/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yassine El Kheir, Amit Meghanani, Hawau Olamide Toyin, et al.*2025 · 6 citations*
35. [**End-to-end Jordanian dialect speech-to-text self-supervised learning framework arXiv:2609.24410 · Front. Robot. AI 9:1090012 (2022)**Ali A. Safieh, Ibrahim Abu Alhaol, Rawan Ghnemat*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/safieh-2026-end-end-jordanian-dialect-speech/)
36. **[Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/grigoryan-2025-open-automatic-speech-recognition-models/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Lilit Grigoryan, Nikolay Karpov, Enas Albasiri, et al.*2025 · 4 citations*
37. **[Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World](https://md.research.elamur.ai/free/en/papers/sadasivan-2026-attacker-s-noise-can-manipulate/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, et al.*2026 · 2 citations*
38. **[UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic](https://md.research.elamur.ai/free/en/papers/nabhani-2024-um-iwslt-2024-low-resource/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Sara Nabhani, Aiden Williams, Miftahul Jannat, et al.*2024 · 2 citations*
39. **[FalAR: A Large-scale Speaker-Annotated European Portuguese Speech Corpus of Parliamentary Sessions](https://md.research.elamur.ai/free/en/papers/teixeira-2026-falar-large-scale-speaker-annotated/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francisco Teixeira, Carlos Carvalho, Mariana Julião, et al.*2026 · 1 citation*
40. **[IIIT-BGP IWSLT 2026 Systems for Low-resource ST](https://md.research.elamur.ai/free/en/papers/singh-2026-iiit-bgp-iwslt-2026-systems/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Kaustuk Pratap Singh, Dipanshu, Vedant Singh, et al.*2026 · 1 citation*
41. **[SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-see-signal-embedding-energy-quantifying/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanhe Zhang, Jiayu Tian, Yibo Zhang, et al.*2026 · 1 citation*
42. **[ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition](https://md.research.elamur.ai/free/en/papers/abouzeid-2025-arabemonet-lightweight-hybrid-2d-cnn/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ali Abouzeid, Bilal Elbouardi, Mohamed Maged, et al.*2025 · 1 citation*
43. **[AraSpot: Arabic Spoken Command Spotting](https://md.research.elamur.ai/free/en/papers/salhab-2023-araspot-arabic-spoken-command-spotting/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Mahmoud Salhab, Haidar Harmanani*2023 · 1 citation*
44. [**Analysis of Data Augmentation Methods for Low-Resource Maltese ASR arXiv:2111.07793**Andrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/demarco-2021-analysis-data-augmentation-methods-low/)
45. [**Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study arXiv:2606.30237**Yuanyuan Zhang, Dimme de Groot, Jorge Martinez, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-comparing-human-automatic-recognition-dutch/)
46. [**IQRA 2026: Interspeech Challenge on Automatic Pronunciation Assessment for Modern Standard Arabic (MSA) arXiv:2603.29087**Yassine El Kheir, Amit Meghanani, Mostafa Shahin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kheir-2026-iqra-2026-interspeech-challenge-automatic/)
47. [**NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task arXiv:2609.27086**Peter Sullivan, Bashar Talafha, Ahmed Ashraf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sullivan-2026-nadi-2026-second-multidialectal-arabic/)
48. **[Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset](https://md.research.elamur.ai/free/en/papers/rossenbach-2026-supplementary-resources-analysis-automatic-speech/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nick Rossenbach, Robin Schmitt, Tina Raissi, et al.*2026*
49. **[TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026*
50. **[Thaka at KSAA-2026 Task 2: Regularized Fine-Tuning for Arabic Speech Diacritization](https://md.research.elamur.ai/free/en/papers/alamr-2026-thaka-ksaa-2026-task-2/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Meshal Abdullah Alamr, Hassan Rshed Alqaeri, Abdullah Aldahlawi*2026*
51. **[“OK Aura, Be Fair with Me”: Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection](https://md.research.elamur.ai/free/en/papers/lopez-2026-ok-aura-be-fair-me/) [Speech Language Models in Low-Resource Settings: Performance, Evaluation, and Bias Analysis (SPEAKABLE) @ LREC](https://md.research.elamur.ai/free/en/venues/speakable/)**Fernando López, Paula Delgado-Santos, Pablo Gómez, et al.*2026*
52. [**Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning arXiv:2509.00094**Abdullah Abdelfattah, Mahmoud I. Khalil, Hazem Abbas*2025*](https://md.research.elamur.ai/free/en/papers/abdelfattah-2025-automatic-pronunciation-error-detection-correction/)
53. [**Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings arXiv:2506.21386**Ghazal Al-Shwayyat, Omer Nezih Gerek*2025*](https://md.research.elamur.ai/free/en/papers/al-shwayyat-2025-hybrid-deep-learning-signal-processing/)
54. **[Sequence-level self-learning with multiple hypotheses](https://md.research.elamur.ai/free/en/papers/kumatani-2021-sequence-level-self-learning-multiple/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, et al.*2020*

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

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