arcosoph/AE29H_float32

AE29H_float32 Audio Embeddings ~29 hours dataset contains precomputed audio embeddings designed for Nanowakeword framework. The embeddings are intended to be used as general-purpose negative training data, meaning the audio does not contain the target wake word or phrase. Unlike raw audio datasets, the files in this dataset contain low-dimensional audio embeddings extracted from audio clips using a pre-trained speech embedding model. These embeddings can be directly used as input… See the full description on the dataset page: https://huggingface.co/datasets/arcosoph/AE29H_float32.

<iframe src="https://silytics.si/embed/item/ec1cbc6f-36e0-4c57-bfbe-d2fb1e0f781c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.