Siyang Wang — accepted AI-conference papers

2025

Rapid Dynamic Obstacle Avoidance for UAVs Enhanced by DVS and Neuromorphic Computing

Siyang Wang, Sheng Yu, Tingbang Liang, Yilin Shi, Yongqiang Ma, Pengju Ren

ICRA 2025

Achieving rapid and accurate dynamic obstacle avoidance is crucial for enhancing the survivability of unmanned aerial vehicles (UAVs) in hazardous conditions. To accomplish dynamic obstacle avoidance, sensors with high temporal resolution and efficient processing models are required. Dynamic vision

Cited by 1 Source ↗code ↗Scholar ↗

2024

Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model

Siyang Wang, Eva Szekely

COLING 2024main

Recent advances in generative language modeling applied to discrete speech tokens presented a new avenue for text-to-speech (TTS) synthesis. These speech language models (SLMs), similarly to their textual counterparts, are scalable, probabilistic, and context-aware. While they can produce diverse an…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗