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Causal Estimation of Exposure Shifts with Neural Networks: Evaluating the Health Benefits of Stricter Air Quality Standards in the US
Motivated by a key policy-relevant question in public health, we develop a neural network method and its theoretical underpinnings to estimate SRFs with robustness and efficiency guarantees.
Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus
We describe how the corpus was created and curated as well as preliminary experiments with accent classification and learning Nigerian accent embeddings.
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