Company Filing History:
Years Active: 2020-2024
Title: **Innovator Spotlight: Guangsen Wang**
Introduction
Guangsen Wang is a prominent inventor based in Shenzhen, China, known for his contributions to the field of speech recognition and related technologies. With a total of five patents to his name, his work has significantly advanced the capabilities of attention-based systems.
Latest Patents
Among his latest patents, Wang's innovative solutions include:
1. **Multi-task training architecture and strategy for attention-based speech recognition system** - This patent provides methods and apparatuses for conducting sequence-to-sequence (Seq2Seq) speech recognition training using multiple processors. The technique involves acquiring a training set composed of pairs of input and target data, encoding the input data into hidden states, and training the models with a focus on both connectionist temporal classification and attention mechanisms to decode sequences into target labels.
2. **N-best softmax smoothing for minimum bayes risk training of attention based sequence-to-sequence models** - This invention presents methods that analyze sequence-to-sequence data, such as in speech recognition or machine translation, by utilizing minimum Bayes risk training alongside softmax smoothing techniques to optimize N-best generation during model training.
Career Highlights
Guangsen Wang currently works at Tencent America LLC, a leading technology company that invests heavily in research and innovation. His role involves advancing the company's capabilities in speech recognition, making significant impacts in the tech industry. His commitment to innovation and excellence is apparent through his patent developments.
Collaborations
Wang collaborates with talented professionals in his field, including his coworkers Jia Cui and Chao Weng. Their combined efforts enhance the research and development outcomes at Tencent, fostering an environment that encourages innovation and knowledge sharing.
Conclusion
Guangsen Wang's inventive spirit and dedication to advancing speech recognition technology exemplify the spirit of innovation. His patents not only showcase his expertise but also contribute to the broader technology landscape, promising improved communication systems for the future.