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20242026
most citedOSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia

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eess.AS2026

RefTAG: Reflection-aware Temporal Audio Grounding in Large Audio Language Models

Yuhang Dai, Xin Shu, Zhennan Lin +5

Temporal audio grounding requires locating every occurrence of a queried target, making both occurrence counts and interval boundaries essential. We propose RefTAG, a post-training…

eess.AS2026

SmoothConv and DuplexConv: Complementary Mandarin Multi-Party Conversational Speech Corpora for Speech Interaction

Chengyou Wang, Mingchen Shao, Chunjiang He +8

Recent advances in large audio language models (LALMs) have driven the development of natural and intelligent speech interaction systems. Such systems need to model complex convers…

eess.AS2026

The Second MLC-SLM Challenge: Multilingual Conversational Speech Diarization, Recognition, and Understanding

Bingshen Mu, Mingchen Shao, Zhennan Lin +7

This paper summarizes the Interspeech2026 second Multilingual Conversational Speech Language Model (MLC-SLM) Challenge, which aims to advance the development of effective multiling…

eess.AS2026

GigaSpeechBench: A Real-World Multilingual Speech-to-Text Benchmark

Yujie Tu, Yifan Yang, Tianrui Wang +35

While modern ASR systems achieve low error rates on high-resource benchmarks, such performance often overestimates real-world robustness. Existing evaluations address challenges in…

eess.AS2026

Listening with Time: Precise Temporal Awareness for Long-Form Audio Understanding

Mingchen Shao, Hang Su, Wenjie Tian +6

While Large Audio Language Models (LALMs) achieve strong performance on short audio, they degrade on long-form inputs. This degradation is more severe in temporal awareness tasks,…

eess.AS2025

Summary on The Multilingual Conversational Speech Language Model Challenge: Datasets, Tasks, Baselines, and Methods

Bingshen Mu, Pengcheng Guo, Zhaokai Sun +8

This paper summarizes the Interspeech2025 Multilingual Conversational Speech Language Model (MLC-SLM) challenge, which aims to advance the exploration of building effective multili…

eess.AS2024

Findings of the 2024 Mandarin Stuttering Event Detection and Automatic Speech Recognition Challenge

Hongfei Xue, Rong Gong, Mingchen Shao +10

The StutteringSpeech Challenge focuses on advancing speech technologies for people who stutter, specifically targeting Stuttering Event Detection (SED) and Automatic Speech Recogni…