October 2026

Dysarthric voice conversion (DVC) aims to transform dysarthric speech into a more natural and intelligible form. Existing DVC methods typically rely on complex auxiliary strategies or text supervision

Conversational Query Rewriting (CQR) plays a vital role in modern information retrieval by transforming ambiguous user queries into self-contained versions that can be effectively processed by standar

1-bitpost-training compression constitutes an extreme yet compelling regime for Large Language Models (LLMs), but existing methods suffer severe accuracy degradation in this aggressive setting. We ide

High-fidelity audio coding requires faithful reconstruction of perceptually important high-frequency components, which are often lost due to the aggressive temporal decimation and quantization of neur

Large language models (LLMs) provide strong linguistic priors for serialized output training (SOT), yet LLM-based multi-talker ASR degrades substantially as the number of overlapping talkers increases

Distributed speech enhancement in wireless acoustic sensor networks (WASNs) remains challenging under practical, non-ideal network conditions, such as packet loss, clock asynchrony, and dynamic topolo

Virtual sound images can be perceived with remarkable clarity when carefully designed signal processing is combined with appropriate arrangements of loudspeakers. Most successful methods to date have

Embodied Audio-Visual Navigation (AVN) requires an agent to locate sound targets by jointly leveraging visual and auditory cues. While prior work has achieved notable success with static sound sources

A binaural rendering framework for personal sound zones (PSZs) is proposed to enable multiple listeners to receive independent stereo audio programs. Current PSZ systems typically rely on monophonic r

Active noise control (ANC) systems based on adaptive algorithms typically require a prior setup stage to characterize the acoustic propagation between the control loudspeakers and the error microphone