公开(公告)号：US20230335117A1

公开(公告)日：2023-10-19

申请号：US18186872

申请日：2023-03-20

Applicant: Google LLC

Inventor： Shuo-yiin Chang ,  Guru Prakash Arumugam ,  Zelin Wu ,  Tara N. Sainath ,  Bo LI ,  Qiao Liang ,  Adam Stambler ,  Shyam Upadhyay ,  Manaal Faruqui ,  Trevor Strohman

IPC: G10L15/16 ,  G10L15/22 ,  G10L15/06

CPC classification number: G10L15/16 ,  G10L15/22 ,  G10L15/063 ,  G10L2015/223

Abstract: A method includes receiving, as input to a speech recognition model, audio data corresponding to a spoken utterance. The method also includes performing, using the speech recognition model, speech recognition on the audio data by, at each of a plurality of time steps, encoding, using an audio encoder, the audio data corresponding to the spoken utterance into a corresponding audio encoding, and decoding, using a speech recognition joint network, the corresponding audio encoding into a probability distribution over possible output labels. At each of the plurality of time steps, the method also includes determining, using an intended query (IQ) joint network configured to receive a label history representation associated with a sequence of non-blank symbols output by a final softmax layer, an intended query decision indicating whether or not the spoken utterance includes a query intended for a digital assistant.

公开(公告)号：US20230289538A1

公开(公告)日：2023-09-14

申请号：US17981016

申请日：2022-11-04

Applicant: Google LLC

Inventor： Rahul Goel ,  Shyam Upadhyay ,  Anmol Agarwal

IPC: G06F40/58 ,  G06F40/205 ,  G06F40/30

CPC classification number: G06F40/58 ,  G06F40/205 ,  G06F40/30

Abstract: Systems and methods for generating code-switched semantic parsing training data and training of semantic parsers. In some examples, a processing system may be configured to use a trained first language model to translate a first single-language text sequence and first parsing data into a second code-switched text sequence and associated second parsing data, and to generate a second training example based on the second code-switched text sequence and the second parsing data. In some examples, the processing system may be further configured to generate a training set from two or more of these second training examples, and to use the training set to train a semantic parser to semantically parse code-switched utterances.