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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… See the full description on the dataset page: https://huggingface.co/datasets/arcosoph/AE29H_float32.

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
2likes170downloads
fileAE29H_float32.npy123.7 MBdownload

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