Keqi Deng

Orcid: 0000-0003-1490-963X

According to our database1, Keqi Deng authored at least 24 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Multi-head Temporal Latent Attention.
CoRR, May, 2025

Wav2Prompt: End-to-End Speech Prompt Learning and Task-based Fine-tuning for Text-based LLMs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SimulS2S-LLM: Unlocking Simultaneous Inference of Speech LLMs for Speech-to-Speech Translation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Decoupled structure for improved adaptability of end-to-end models.
Speech Commun., 2024

CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought.
CoRR, 2024

Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning.
CoRR, 2024

FastInject: Injecting Unpaired Text Data into CTC-Based ASR Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Adaptable End-to-End ASR Models Using Replaceable Internal LMs and Residual Softmax.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Alleviating ASR Long-Tailed Problem by Decoupling the Learning of Representation and Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

ETEH: Unified Attention-Based End-to-End ASR and KWS Architecture.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improving Non-Autoregressive End-to-End Speech Recognition with Pre-Trained Acoustic and Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving CTC-Based Speech Recognition Via Knowledge Transferring from Pre-Trained Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model.
CoRR, 2021

Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-Supervised Learning.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

History Utterance Embedding Transformer LM for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Hybrid CTC/Attention End-to-End Speech Recognition with Pretrained Acoustic and Language Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021


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