Patent ID: 11875822
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. A method comprising: determining first audio data associated with a first presentation of first language data associated with a first language; generating second language data by translating, using one or more processors, the first audio data from the first language into a second language associated with the second language data; generating second audio data associated with a second presentation of the second language data; determining, using the one or more processors, a characteristic score of the second audio data by using a twin neural network trained using contrastive learning based at least in part on a first training set and a second training set, wherein: the first training set comprises third audio data including, positive examples; and the second training set comprises fourth audio data, including negative examples, wherein the negative examples are generated by: temporally misaligning the third audio data to produce the fourth audio data; or altering a characteristic of the third audio data to produce the fourth audio data; and in response to the characteristic score being below a threshold, adjusting one or more parameters of the second presentation.