most citedThe ICME 2025 Audio Encoder Capability Challenge

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2025

ContextASR-Bench: A Massive Contextual Speech Recognition Benchmark

He Wang, Linhan Ma, Dake Guo +4

Automatic Speech Recognition (ASR) has been extensively investigated, yet prior benchmarks have largely focused on assessing the acoustic robustness of ASR models, leaving evaluati…

cs.SD2025

StreamFlow: Streaming Flow Matching with Block-wise Guided Attention Mask for Speech Token Decoding

Dake Guo, Jixun Yao, Linhan Ma +2

Recent advancements in discrete token-based speech generation have highlighted the importance of token-to-waveform generation for audio quality, particularly in real-time interacti…

eess.AS2025

FlexSpeech: Towards Stable, Controllable and Expressive Text-to-Speech

Linhan Ma, Dake Guo, He Wang +2

Current speech generation research can be categorized into two primary classes: non-autoregressive and autoregressive. The fundamental distinction between these approaches lies in…

cs.SD2025

Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization

Weifei Jin, Junjie Su, Hejia Wang +2

With the widespread application of automatic speech recognition (ASR) systems, their vulnerability to adversarial attacks has been extensively studied. However, most existing adver…

cs.SD2025★ 1 cited

The ICME 2025 Audio Encoder Capability Challenge

Junbo Zhang, Heinrich Dinkel, Qiong Song +8

This challenge aims to evaluate the capabilities of audio encoders, especially in the context of multi-task learning and real-world applications. Participants are invited to submit…

cs.SD2023

A Neural Speech Codec for Noise Robust Speech Coding

Jiayi Huang, Zeyu Yan, Wenbin Jiang +2

This paper considers the joint compression and enhancement problem for speech signal in the presence of noise. Recently, the SoundStream codec, which relies on end-to-end joint tra…