website/_posts/research/2019-07-05-deep-neural-baselines.md

layout, title, categories, excerpt, header

layout	title	categories	excerpt	header
single	Deep-Neural Baseline	research	Introduction a deep baseline for audio classification.	teaser assets/figures/3_deep_neural_baselines_teaser.jpg

{:style="display:block; width:30%" .align-right} The study presents an innovative end-to-end deep learning method to identify sleepiness in spoken language, as part of the Interspeech 2019 ComParE challenge. This method utilizes a deep neural network architecture to analyze audio data directly, eliminating the need for specific feature engineering. This approach not only achieves performance comparable to state-of-the-art models but is also adaptable to various audio classification tasks. For more details, refer to the work by {% cite elsner2019deep %}.