The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
We present a novel automatic procedure to analyze articulatory setting (AS) or basis of articulation using realtime magnetic resonance images (rt-MRI) of the human vocal tract rec...
Vikram Ramanarayanan, Dani Byrd, Louis Goldstein, ...
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Humans can easily recognize complex objects even if values of their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual inform...