12 lines
846 B
Markdown
12 lines
846 B
Markdown
---
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layout: single
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title: "Deep-Neural Baseline"
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categories: research
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excerpt: "Introduction a deep baseline for audio classification."
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header:
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teaser: assets/figures/3_deep_neural_baselines_teaser.jpg
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---
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{:style="display:block; width:30%" .align-right}
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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 %}.
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