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This paper investigates a new privacy-preserving paradigm for the task of Query-by-Example Speech Search using Secure Binary Embeddings, a hashing method that converts vector data to bit strings through a combination of random projections followed by banded quantization. The proposed method allows performing spoken query search in an encrypted domain, by analyzing ciphered information computed from...
In this paper we present a privacy-preserving speaker verification system using a UBM-GMM technique. Remote speaker verification services rely on the system having access to the user's recordings, or features derived from them, and a model representing the user's voice. Preserving privacy in our context means that neither the system observes voice samples or speech models from the user nor the user...
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