Resource-Efficient Device-Directed Speech Detection and Multimodal Data with Large Base Models
*=Equal taxpayers This article was accepted into the Efficient Natural Language and Speech Processing workshop at NeurIPS 2023. Interactions with ...
*=Equal taxpayers This article was accepted into the Efficient Natural Language and Speech Processing workshop at NeurIPS 2023. Interactions with ...
The inability of large linguistic models to attribute their statements to external knowledge and their tendency to hallucinate makes it ...
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*= Equal taxpayers We propose a self-supervised anomaly detection technique, called SeMAnD, to detect geometric anomalies in multimodal geospatial datasets. ...
Image generated from DALLE-3 In today's era of massive data sets and intricate data patterns, the art and science of ...
Device-directed speech detection (DDSD) is the binary classification task of distinguishing between queries directed to a voice assistant and parallel ...
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