Yan Huang

US Patent:

7990854, Aug 2, 2011

Filed:

May 30, 2008

Appl. No.:

12/130385

Inventors:

Yan Huang - Kenmore WA, US
Bahman Rabii - San Francisco CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

H04L 12/26
H04J 3/14

US Classification:

370229, 370252, 370254, 709224

Abstract:

Apparatus, systems and methods for isolation of traffic composition in performance metrics are disclosed. A change in a performance metric of a content provisioning system is determined. The change in the performance metric is compared to a weighted change expected from the content provisioning system if traffic was not a factor. A traffic independent change is determined from the weighted change. A traffic related change is determined.

US Patent:

20210304769, Sep 30, 2021

Filed:

May 14, 2020

Appl. No.:

15/931788

Inventors:

- Redmond WA, US
Yan Huang - Redmond WA, US
Wenning Wei - Beijing, CN
Lei He - Beijing, CN
Eva Sharma - Vancouver, CA
Jian Wu - Bellevue WA, US
Yao Tian - Beijing, CN
Edward C. Lin - Beijing, CN
Yifan Gong - Sammamish WA, US
Rui Zhao - Bellevue WA, US
Jinyu Li - Redmond WA, US
William Maxwell Gale - Sunnyvale CA, US

International Classification:

G10L 15/26
G10L 15/16
G10L 15/06
G10L 13/08

Abstract:

Systems, methods, and devices are provided for generating and using text-to-speech (TTS) data for improved speech recognition models. A main model is trained with keyword independent baseline training data. In some instances, acoustic and language model sub-components of the main model are modified with new TTS training data. In some instances, the new TTS training is obtained from a multi-speaker neural TTS system for a keyword that is underrepresented in the baseline training data. In some instances, the new TTS training data is used for pronunciation learning and normalization of keyword dependent confidence scores in keyword spotting (KWS) applications. In some instances, the new TTS training data is used for rapid speaker adaptation in speech recognition models.