Text-dependent speaker identification

A system comprising:

• one or more computers;
• and
• one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• inputting speech data that corresponds to a particular utterance to a first neural network;
• determining an evaluation vector based on output at a hidden layer of the first neural network;
• obtaining a reference vector that corresponds to a past utterance of a particular speaker;
• inputting the evaluation vector and the reference vector to a second neural network that is trained on a set of labeled pairs of feature vectors to identify whether speakers associated with the labeled pairs of feature vectors are the same speaker;
• and
• determining, based on an output of the second neural network, whether the particular utterance was likely spoken by the particular speaker.

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

• inputting speech data that corresponds to a particular utterance to a first neural network;
• determining an evaluation vector based on output at a hidden layer of the first neural network;
• obtaining a reference vector that corresponds to a past utterance of a particular speaker;
• inputting the evaluation vector and the reference vector to a second neural network that is trained on a set of labeled pairs of feature vectors to identify whether speakers associated with the labeled pairs of feature vectors are the same speaker;
• and
• determining, based on an output of the second neural network, whether the particular utterance was likely spoken by the particular speaker.