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Home/Authors/Keqi Deng

Keqi Deng

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Audio and Speech Processing×4Sound×1NLP×1AI×1

Frequent co-authors

Yuxiang Zhao2×
Yichi Zhang2×
Yanjie An2×
Qixi Zheng2×
Kai Yu2×
Xie Chen2×

Research Timeline

2026
OpenSTBench: Beyond Semantic Evaluation for Speech Translation

The paper introduces OpenSTBench, a unified, multidimensional evaluation framework designed to comprehensively compare heterogeneous speech translation systems by jointly assessing translation, speech, and temporal qualities.

Rethinking Speech-LLM Integration for ASR: Effective Joint Speech-Text Training by Interleaving

This paper proposes Joint Speech-Text Interleaved Pretraining (JSTIP) for speech recognition, which constructs interleaved speech-text sequences and achieves consistent entity accuracy improvement.

Compress the Cache, Not the Speech Embedding: KV Compression for Efficient Speech LLMs

The paper proposes SpeechKV, a method to compress speech sequences inside large language models using a learned pooling, maintaining performance and delivering decoding speedup.

X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System

X-Translator is a low-cost modular system for real-time speech-to-speech translation, using streaming ASR, machine translation, and prompt-conditioned TTS, with session-level control.

Highlighted terms show continued research focus across papers

Papers

eess.ASEmpiricalRecentJul 20, 2026

X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System

Yuxiang Zhao, Yichi Zhang, Yanjie An, Yanqiao Zhu +9 more

X-Translator is a low-cost modular system for real-time speech-to-speech translation, using streaming ASR, machine translation, and prompt-conditioned TTS, with session-level control.

View →
eess.AScs.SDEmpirical
Recent
Jul 7, 2026

Compress the Cache, Not the Speech Embedding: KV Compression for Efficient Speech LLMs

Ke-Han Lu, Keqi Deng, Ruchao Fan, Rui Zhao +1 more

The paper proposes SpeechKV, a method to compress speech sequences inside large language models using a learned pooling, maintaining performance and delivering decoding speedup.

View →
cs.CLeess.ASEmpiricalRecentJul 2, 2026

Rethinking Speech-LLM Integration for ASR: Effective Joint Speech-Text Training by Interleaving

Ruchao Fan, Yiming Wang, Rui Zhao, Liliang Ren +9 more

This paper proposes Joint Speech-Text Interleaved Pretraining (JSTIP) for speech recognition, which constructs interleaved speech-text sequences and achieves consistent entity accuracy improvement.

View →
eess.AScs.AIRecentMay 29, 2026

OpenSTBench: Beyond Semantic Evaluation for Speech Translation

Yanjie An, Yuxiang Zhao, Yichi Zhang, Qixi Zheng +4 more

The paper introduces OpenSTBench, a unified, multidimensional evaluation framework designed to comprehensively compare heterogeneous speech translation systems by jointly assessing translation, speech…

View →