Company Filing History:

10 out of 54,638

Microsoft Technology Licensing, LLC

patents

3 out of 29,232

Texas Instruments Corporation

patents

Years Active: 2009-2023

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13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11727914 - Intent recognition and emotional text-to-speech learning (2023-08-15),

2. 11238842 - Intent recognition and emotional text-to-speech learning (2022-02-01),

3. 10867597 - Assignment of semantic labels to a sequence of words using neural network architectures (2020-12-15),

4. 10127901 - Hyper-structure recurrent neural networks for text-to-speech (2018-11-13),

5. 10089974 - Speech recognition and text-to-speech learning system (2018-10-02),

6. 9280969 - Model training for automatic speech recognition from imperfect transcription data (2016-03-08),

7. 9239828 - Recurrent conditional random fields (2016-01-19),

8. 9208777 - Feature space transformation for personalization using generalized i-vector clustering (2015-12-08),

9. 9177550 - Conservatively adapting a deep neural network in a recognition system (2015-11-03),

10. 8700400 - Subspace speech adaptation (2014-04-15),

11. 8180635 - Weighted sequential variance adaptation with prior knowledge for noise robust speech recognition (2012-05-15),

12. 7966183 - Multiplying confidence scores for utterance verification in a mobile telephone (2011-06-21),

13. 7584097 - System and method for noisy automatic speech recognition employing joint compensation of additive and convolutive distortions (2009-09-01),

Title: Kaisheng N Yao: Innovator in Intent Recognition and Emotional Text-to-Speech Learning

Introduction

Kaisheng N Yao is a prominent inventor based in Dallas, TX (US), known for his significant contributions to the fields of intent recognition and emotional text-to-speech learning. With a total of 13 patents to his name, Yao has made remarkable advancements that enhance the interaction between humans and machines.

Latest Patents

Yao's latest patents focus on an intent-recognition system that utilizes a processor and memory to process speech input. The system generates text results and acoustic feature annotations based on the spoken words. It applies an intent model to recognize the intent behind the speech input. Additionally, he has developed a system for adapting an emotional text-to-speech model, which involves receiving training examples and emotion-related labeling data. This system extracts audio signal vectors to create an emotion-adapted voice font model, showcasing his innovative approach to improving communication technologies.

Career Highlights

Throughout his career, Yao has worked with notable companies such as Microsoft Technology Licensing, LLC and Texas Instruments Corporation. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technologies in the industry.

Collaborations

Yao has collaborated with talented individuals, including Pei Zhao and Max Leung, who have contributed to his projects and innovations. Their teamwork has played a crucial role in advancing the technologies he has developed.

Conclusion

Kaisheng N Yao's work in intent recognition and emotional text-to-speech learning exemplifies the impact of innovative thinking in technology. His patents and collaborations highlight his commitment to enhancing human-computer interaction.

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