A processing unit can extract salient semantics to model knowledge carryover, from one turn
to the next, in multi-turn conversations. Architecture described herein can use the end-to-end …

(57) ABSTRACT A processing unit can operate an end-to-end recurrent neural network
(RNN) with limited contextual dialog memory that can be jointly trained by supervised …

BACKGROUND Computer-based speech recognition techniques have used local contexts
(eg, previous 2 words uttered by a user) to predict a next word that a user is going to say. For …

The techniques described herein improve methods to equip a computing device to conduct
automatic speech recognition (“ASR”) in talker-independent multi-talker scenarios. In some …

SUMMARY A neural network, eg, a deep neural network, is trained, and used during
runtime, with a reduced number of parameters provided to one or more layers in the neural …

US11615785B2 - Speech recognition using natural language understanding related
knowledge via deep feedforward neural networks - Google Patents US11615785B2 …

A computer-implemented technique is described herein for detecting actionable items in
speech. In one manner of operation, the technique can include receiving utterance …

Incremental speech recognition results are generated and used to determine a user's intent
from an utterance. Utterance audio data may be partitioned into multiple portions, and …

BACKGROUND Computing devices can be used to process a user's spoken commands,
requests, and other utterances into written tran Scriptions. Models representing data …

The present disclosure provides systems and methods that leverage machine-learned
models (eg, neural networks) to provide enhanced communication assistance. In particular …