Company Filing History:
Years Active: 2023
Title: Basi Garcia - Innovator in Audio Processing Technology
Introduction
Basi Garcia is a notable inventor based in Mountain View, CA, who has made significant contributions to the field of audio processing technology. With a focus on enhancing the accuracy of spoken utterance transcriptions, Garcia's work is paving the way for advancements in natural language processing.
Latest Patents
Garcia holds a patent for a method titled "Emitting Word Timings with End-to-End Models." This innovative method involves receiving a training example that includes audio data representing a spoken utterance and a ground truth transcription. For each word in the spoken utterance, the method includes inserting a placeholder symbol before the respective word to identify the ground truth alignment for the beginning and end of the respective word. The process determines a beginning word piece and an ending word piece, generating constrained alignments that are aligned with the ground truth. This method enhances the accuracy of audio transcriptions by constraining an attention head of a second pass decoder through the application of these alignments. Garcia's patent is a testament to his expertise and innovative thinking in the field.
Career Highlights
Basi Garcia is currently employed at Google Inc., where he continues to develop cutting-edge technologies that improve audio processing and transcription accuracy. His work at Google has positioned him as a key player in the advancement of machine learning applications in natural language processing.
Collaborations
Garcia collaborates with talented individuals such as Tara N. Sainath and David Rybach, who contribute to the innovative projects at Google. These collaborations foster a creative environment that drives technological advancements.
Conclusion
Basi Garcia's contributions to audio processing technology through his patent and work at Google highlight his role as an influential inventor in the field. His innovative methods are set to enhance the accuracy of spoken utterance transcriptions, showcasing the importance of his work in the realm of natural language processing.