activity
20242026
collaborators
Showing eess.ASShow all

6 papers · 1 filter

eess.AS2026

UNISON: A Unified Sound Generation and Editing Framework via Deep LLM Fusion

Zhaoqing Li, Haoning Xu, Jingran Su +9

We present UNISON, a latent diffusion framework that unifies speech generation, sound generation, and audio editing within a single model. A single model handles text-to-audio, tex…

eess.AS2026

SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis

Huimeng Wang, Hui Lu, Jiajun Deng +7

Continuous autoregressive speech synthesis has recently emerged as a promising direction for zero-shot text-to-speech (TTS). However, existing methods still suffer from a fundament…

eess.AS2025

Towards Effective and Efficient Non-autoregressive decoders for Conformer and LLM-based ASR using Block-based Attention Mask

Tianzi Wang, Xurong Xie, Zengrui Jin +9

Automatic speech recognition (ASR) systems often rely on autoregressive (AR) Transformer decoder architectures, which limit efficient inference parallelization due to their sequent…

eess.AS2025

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems

Mingyu Cui, Mengzhe Geng, Jiajun Deng +8

This paper investigates four types of cross-utterance speech contexts modeling approaches for streaming and non-streaming Conformer-Transformer (C-T) ASR systems: i) input audio fe…

eess.AS2024

Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition

Shujie Hu, Xurong Xie, Mengzhe Geng +8

Data-intensive fine-tuning of speech foundation models (SFMs) to scarce and diverse dysarthric and elderly speech leads to data bias and poor generalization to unseen speakers. Thi…

eess.AS2024

CR-CTC: Consistency regularization on CTC for improved speech recognition

Zengwei Yao, Wei Kang, Xiaoyu Yang +7

Connectionist Temporal Classification (CTC) is a widely used method for automatic speech recognition (ASR), renowned for its simplicity and computational efficiency. However, it of…