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eess.AS2026

Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis

Mingyue Huo, Yuheng Zhang, Hao Zhang

The paper introduces an inference‑time polar projection method to diagnose how components of STFT‑domain speech enhancement affect automatic speech recognition, revealing that magn…

eess.AS2026

TRACE-EVC: Text-Guided Relative Affective Control for Zero-Shot Emotional Voice Conversion

Zihan Zhang, Shreeram Suresh Chandra, Zongyang Du +5

Traditional emotional voice conversion (EVC) conditions generation on explicit target emotions like labels or references, defining the target affective state but omitting the direc…

eess.AS2026

Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation

Wei-Cheng Tseng, Xuanru Zhou, Mingyue Huo +3

Audio-language pretraining (ALP) holds promise for learning general-purpose audio representation, yet remains underexplored. Crucially, there is no consensus on whether audio-langu…

eess.AS2025

Balancing Speech Understanding and Generation Using Continual Pre-training for Codec-based Speech LLM

Jiatong Shi, Chunlei Zhang, Jinchuan Tian +4

Recent advances in speech language models (LLMs) have extended textual LLMs to the speech domain, but balancing speech understanding and generation remains challenging, especially…

eess.AS2025

Auden-Voice: General-Purpose Voice Encoder for Speech and Language Understanding

Mingyue Huo, Wei-Cheng Tseng, Yiwen Shao +2

Human voice encodes both identity and paralinguistic cues, yet encoders in large audio-language models (LALMs) rarely balance both aspects. In this work, we present a study toward…