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cs.SD2026
Diagnose, Then Refine: A Closed-Loop TTS System with AudioLLM-Guided Correction
Zeyang Song, Tianchi Liu, Tianrui Wang +3
Current TTS systems typically rely on open-loop, single-pass generation and can produce sporadic local prosodic defects, such as misplaced stress, unnatural pauses, or flattened in…
cs.SD2024
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting
Zeyang Song, Qianhui Liu, Qu Yang +2
Keyword Spotting (KWS) is essential in edge computing requiring rapid and energy-efficient responses. Spiking Neural Networks (SNNs) are well-suited for KWS for their efficiency an…
cs.SD2024★ 1 cited
sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks
Qu Yang, Qianhui Liu, Nan Li +3
Speech applications are expected to be low-power and robust under noisy conditions. An effective Voice Activity Detection (VAD) front-end lowers the computational need. Spiking Neu…