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20212026
most citedSUPERB: Speech processing Universal PERformance Benchmark

53 citations · 67 across the 25 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

eess.AS2025

Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner

Guan-Ting Lin, Shih-Yun Shan Kuan, Jiatong Shi +4

While full-duplex speech agents enable natural, low-latency interaction by speaking and listening simultaneously, their consistency and task performance in multi-turn settings rema…

eess.AS2025

Game-Time: Evaluating Temporal Dynamics in Spoken Language Models

Kai-Wei Chang, En-Pei Hu, Chun-Yi Kuan +7

Conversational Spoken Language Models (SLMs) are emerging as a promising paradigm for real-time speech interaction. However, their capacity of temporal dynamics, including the abil…

eess.AS2025

Full-Duplex-Bench v1.5: Evaluating Overlap Handling for Full-Duplex Speech Models

Guan-Ting Lin, Shih-Yun Shan Kuan, Qirui Wang +4

Full-duplex spoken dialogue systems promise to transform human-machine interaction from a rigid, turn-based protocol into a fluid, natural conversation. However, the central challe…

cs.CL2025

SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR

Wei-Ping Huang, Guan-Ting Lin, Hung-yi Lee

Despite progress in end-to-end ASR, real-world domain mismatches still cause performance drops, which Test-Time Adaptation (TTA) aims to mitigate by adjusting models during inferen…

cs.CL2025★ 1 cited

Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities

Guan-Ting Lin, Jiachen Lian, Tingle Li +4

Spoken dialogue modeling poses challenges beyond text-based language modeling, requiring real-time interaction, turn-taking, and backchanneling. While most Spoken Dialogue Models (…