FST.ai 2.0 improves Taekwondo decision-making with AI, reducing review time and increasing trust.
arXiv research
A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
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Paper assesses GMMB in VAs using FST for accurate net liability calculations.
Enhances interpretability of functional survival models.
This paper formalizes Uniswap v3 using PTA and FST for rigorous analysis.
A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream. This paper presents a query-by-example on-device KWS system which is user-specific. The proposed system consists of two main steps: query enrollment and testing. In query enrollment step, phonetic pos…
Recognizing written domain numeric utterances (e.g. I need $1.25.) can be challenging for ASR systems, particularly when numeric sequences are not seen during training. This out-of-vocabulary (OOV) issue is addressed in conventional ASR systems by training part of the model on spoken domain utterances (e.g. I need one …
Acoustic Neighbor Embeddings map speech and text to fixed dimensions for phonetic confusability.