Importance

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Abstract

Broadly speaking, the present disclosure relates to a computer-implemented method for training a machine learning, ML, automatic speech recognition, ASR, model. The method comprises injecting a speaker anonymiser, which is configured to cause the ML ASR model to generate anonymised acoustic embeddings for the ML ASR model, at one or more layers of the ML ASR model, and suitably training the ML ASR model including the speaker anonymiser on audio data comprising an utterance with one or more words to be recognised. Correspondingly, there is also described a computer implemented method for performing automatic speech recognition using the trained ML ASR model and system for training/inference thereof.

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First Claim