This inventor holds 1 USPTO granted patent and 12 published patent applications. Top assignees: Beijing Zitiao Network Technology Co., Ltd., Lemon Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Lu Lu - Innovator in Speech Recognition Technology.
Introduction
Lu Lu is an inventive mind based in Los Angeles, CA (US). She is focused on advancing the field of speech recognition through innovative machine learning techniques. Although she currently holds no granted patents, her contributions to the field are noteworthy.
Latest Patent Applications
Lu Lu's latest patent applications include two significant innovations. The first application, titled "IMPROVING SPEECH RECOGNITION BY A MACHINE LEARNING MODEL," describes techniques for enhancing speech recognition using a machine learning model. This model includes a speech encoder that generates acoustic representations from input speech, an adapter for creating adapted representations, and a decoder that produces text corresponding to the input speech. A matching loss is applied during the training process to ensure that the acoustic representations align with text embeddings, ultimately improving performance and parameter efficiency in automatic speech recognition.
The second application, "EFFICIENT EXTENSION TO RECOGNIZE NEW LANGUAGES," outlines methods for efficiently adapting the model to recognize new languages. This involves maintaining a first data flow pipeline with pre-trained parameters for existing languages and configuring a second pipeline that utilizes these parameters while incorporating additional trainable parameters. The model is fine-tuned to recognize new languages based on input audio, ensuring that performance in recognizing existing languages is preserved.
Conclusion
Lu Lu is making significant strides in the realm of speech recognition technology through her innovative patent applications. Her work demonstrates a commitment to enhancing machine learning models for better language recognition and efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile