Google Inc.

Jennifer Daniel

Shiping Toohey

Nobuki Yoda

Ishwar Dhanuka

Ming Wei Chan

Teresa Pranyoto

Ho Lam Pang

Yang Lu

Nicolo D'Ercole

Alessandro Agostini

Alvin Abdagic

Adrien Olczak

Mehek Sharma

Ajay Gokhale

Alexander Robertson

Dror Ayalon

Jiawei Chen

Jackie Xiang

Keqian Yan

Cristian Udrescu

Nicolo D'ERCOLE

Display screen or portion thereof with transitional graphical user interface

Implementations described herein relate to causing emoji(s) that are associated with a given emotion class expressed by a spoken utterance to be visually rendered for presentation to a user at a display of a client device of the user. Processor(s) of the client device may receive audio data that captures the spoken utterance, process the audio data to generate textual data that is predicted to correspond to the spoken utterance, and cause a transcription of the textual data to be visually rendered for presentation to the user via the display. Further, the processor(s) may determine, based on processing the textual data, whether the spoken utterance expresses a given emotion class. In response to determining that the spoken utterance expresses the given emotion class, the processor(s) may cause emoji(s) that are stored in association with the given emotion class to be visually rendered for presentation to the user via the display.

System(s) and method(s) for causing contextually relevant emoji(s) to be visually rendered for presentation to user(s) in smart dictation

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Brookyln, NY, United States of America

Jennifer Daniel