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20242026
most citedSD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

1 citations · 4 across the 11 of their papers we have counts for

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6 papers · 1 filter

eess.AS2026

Full-Duplex Interaction with Speech, Expressions and Gestures

Siyin Wang, Wenyi Yu, Terumi Chiba +5

Human face-to-face conversation requires coordinating speech, gestures and expressions across both speaking and listening. We present ELLSA 2, an end-to-end full-duplex dialogue mo…

eess.AS2025★ 1 cited

Solla: Towards a Speech-Oriented LLM That Hears Acoustic Context

Junyi Ao, Dekun Chen, Xiaohai Tian +6

Large Language Models (LLMs) have recently shown remarkable ability to process not only text but also multimodal inputs such as speech and audio. However, most existing models prim…

eess.AS2025

QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions

Siyin Wang, Wenyi Yu, Xianzhao Chen +7

This paper explores a novel perspective to speech quality assessment by leveraging natural language descriptions, offering richer, more nuanced insights than traditional numerical…

eess.AS2024★ 1 cited

SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation

Wenyi Yu, Siyin Wang, Xiaoyu Yang +7

Full-duplex multimodal large language models (LLMs) provide a unified framework for addressing diverse speech understanding and generation tasks, enabling more natural and seamless…

eess.AS2024★ 1 cited

Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation

Siyin Wang, Wenyi Yu, Yudong Yang +10

Speech quality assessment typically requires evaluating audio from multiple aspects, such as mean opinion score (MOS) and speaker similarity (SIM) \etc., which can be challenging t…

eess.AS2024

Dual-Pipeline with Low-Rank Adaptation for New Language Integration in Multilingual ASR

Yerbolat Khassanov, Zhipeng Chen, Tianfeng Chen +5

This paper addresses challenges in integrating new languages into a pre-trained multilingual automatic speech recognition (mASR) system, particularly in scenarios where training da…