NUTS, NARS, and Speech
Not on the map. Why?
Abstract (arXiv)
To investigate whether "Intelligence is the capacity of an information-processing system to adapt to its environment while operating with insufficient knowledge and resources", we look at utilising the non axiomatic reasoning system (NARS) for speech recognition. This article presents NUTS: raNdom dimensionality redUction non axiomaTic reasoning few Shot learner for perception. NUTS consists of naive dimensionality reduction, some pre-processing, and then non axiomatic reasoning (NARS). With only 2 training examples NUTS performs similarly to the Whisper Tiny model for discrete word identification.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 30 references that are in the map. First posted on arXiv 28 May 2024.
Builds on
5 of 30 references.
References · 5
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2018Speech Commands: A Dataset for Limited-Vocabulary Speech Recognitioncited by 741
- 2020Concept Whitening for Interpretable Image Recognitioncited by 225
- 2018A neural attention model for speech command recognitioncited by 44
- 2019Integrating Learning and Reasoning with Deep Logic Modelscited by 21
Built on by
Not cited yet.