The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 13, 2022
Filed:
Jan. 21, 2021
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Zhong Meng, Mercer Island, WA (US);
Sarangarajan Parthasarathy, Mountain View, CA (US);
Xie Sun, Kirkland, WA (US);
Yashesh Gaur, Redmond, WA (US);
Naoyuki Kanda, Bellevue, WA (US);
Liang Lu, Redmond, WA (US);
Xie Chen, Bellevue, WA (US);
Rui Zhao, Bellevue, WA (US);
Jinyu Li, Bellevue, WA (US);
Yifan Gong, Sammamish, WA (US);
Microsoft Technology Licensing, LLC, Redmond, WA (US);
Abstract
A computer device is provided that includes one or more processors configured to receive an end-to-end (E2E) model that has been trained for automatic speech recognition with training data from a source-domain, and receive an external language model that has been trained with training data from a target-domain. The one or more processors are configured to perform an inference of the probability of an output token sequence given a sequence of input speech features. Performing the inference includes computing an E2E model score, computing an external language model score, and computing an estimated internal language model score for the E2E model. The estimated internal language model score is computed by removing a contribution of an intrinsic acoustic model. The processor is further configured to compute an integrated score based at least on E2E model score, the external language model score, and the estimated internal language model score.