This invention discloses a method for enhancing the robustness of a voiceprint retrieval model, belonging to the field of voiceprint retrieval. The invention aims to provide a method to enhance the robustness of systems using
deep learning to build
speech retrieval models, helping the
system maintain relatively good performance even when subjected to adversarial example attacks. First, during a retrieval process, the relevance of the search results is ranked, and relatively relevant speech is selected. Then, the
query statement is denoised. Next, using the denoised query speech, a second query is performed among the previously selected relatively relevant speech, selecting the most relevant speech from this second query as the final query result. This invention provides a method to enhance the robustness of voiceprint retrieval models in
deep learning-based voiceprint retrieval systems, helping the
system operate more effectively.