In this paper we propose a novel swallowing sound recognition technique based on the limited receptive area (LIRA) neural classifier and time-frequency ...
In this paper we propose a novel swallowing sound recognition technique based on the limited receptive area (LIRA) neural classifier and time-frequency ...
Abstract In this paper we propose a novel swallowing sound recognition technique based on the limited receptive area (LIRA) neural classifier and time-.
Abstract In this paper we propose a novel swallowing sound recognition technique based on the limited receptive area (LIRA) neural classifier and time-.
PDF | In this paper we propose a sound recognition technique based on the limited receptive area (LIRA) neural classifier and short-time Fourier.
Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform.
Deep Learning for Classification of Normal Swallows in Adults - PMC
www.ncbi.nlm.nih.gov › PMC5944858
Jan 31, 2018 · In this study, we utilized neural network classification methods in the form of Deep Belief networks in order to classify swallows.
Apr 12, 2018 · Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier. (2009). M. Aboofazeli et al ...
Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier ... swallowing sounds using short-time ...
Neuman, “Recognition of swallowing sounds using time-frequency decomposition and limited receptive area neural classi- fier,” in Proc. AI-2008, 28th SGAI ...