Meng Yu

USPTO Granted Patents = 26 (Patent Applications = 8)

Average Co-Inventor Count = 3.2

ph-index = 4

Forward Citations = 99(Granted Patents)

Location History:

Bellevue, WA (US) (2022 - 2023)
Shenzhen, CN (2021 - 2024)
Palo Alto, CA (US) (2023 - 2024)

Company Filing History:

Tencent Technology (shenzhen) Company Limited

patents

4 out of 4

Shenzhen Bailu Outdoor Products Co., Ltd

patents

4. 1 out of 17

Shenzhen Hightide Biopharmaceutical, Ltd.

Years Active: 2021-2025

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26 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12456457 - All deep learning minimum variance distortionless response beamformer for speech separation and enhancement (2025-10-28),

2. 12406683 - Kalmannet: a learnable Kalman filter for acoustic echo cancellation (2025-09-02),

3. 12321188 - Neuralecho: a self-attentive recurrent neural network for unified acoustic echo suppression, speaker aware speech enhancement and automatic gain control (2025-06-03),

4. 12308039 - Multi-band synchronized neural vocoder (2025-05-20),

5. 12293769 - Neural-echo: an unified deep neural network model for acoustic echo cancellation and residual echo suppression (2025-05-06),

6. 12154566 - Multi-look enhancement modeling and application for keyword spotting (2024-11-26),

7. 12094481 - ADL-UFE: all deep learning unified front-end system (2024-09-17),

8. 11902757 - Techniques for unified acoustic echo suppression using a recurrent neural network (2024-02-13),

9. 11871176 - Far-field pickup device and method for collecting voice signal in far-field pickup device (2024-01-09),

10. 11856376 - Sound acquisition component array and sound acquisition device (2023-12-26),

11. 11850514 - Physical games enhanced by augmented reality (2023-12-26),

12. 11776556 - Unified deep neural network model for acoustic echo cancellation and residual echo suppression (2023-10-03),

13. 11688412 - Multi-modal framework for multi-channel target speech separation (2023-06-27),

14. 11450337 - Multi-person speech separation method and apparatus using a generative adversarial network model (2022-09-20),

15. 11423906 - Multi-tap minimum variance distortionless response beamformer with neural networks for target speech separation (2022-08-23),

Title: Innovations and Contributions of Meng Yu in the Field of Speech Recognition

Introduction: Meng Yu, based in Bellevue, WA, is a prolific inventor with a remarkable portfolio of 21 patents. His work primarily focuses on advancements in speech recognition technology, contributing significantly to the field with innovative methods and systems that enhance users' interaction with technology.

Latest Patents: Among his latest patents, the "Multi-look enhancement modeling and application for keyword spotting" stands out. This invention presents a sophisticated method for activating speech recognition based on keyword spotting. It involves receiving waveform data from various speakers, extracting features from this data, and determining keywords to activate speech recognition effectively. Additionally, his patent titled "ADL-UFE: All Deep Learning Unified Front-End System" introduces a groundbreaking method that generates enhanced target speech from audio data. This patent employs a complex neural network trained to simultaneously estimate target speech, noise, and echo from the input audio, demonstrating a significant leap in spatio-temporal processing capabilities.

Career Highlights: Meng Yu has gained valuable experience working with notable companies such as Tencent America LLC and Tencent Technology (Shenzhen) Company Limited. His contributions to these firms have focused on advancing speech recognition technologies and improving user experience through innovative audio processing techniques.

Collaborations: Throughout his career, Meng Yu has collaborated with esteemed professionals like Dong Yu and Yong Xu. Their collective expertise has undoubtedly played a pivotal role in shaping the advancements they have achieved in the field of speech recognition.

Conclusion: Meng Yu's contributions to speech recognition technology through his 21 patents showcase his innovative spirit and dedication to improving human-computer interaction. His work is instrumental in paving the way for future advancements in the realm of audio processing and speech recognition systems.

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