Company Filing History:
Years Active: 2021-2023
Title: Innovations of Josef Bauer in Automatic Speech Recognition
Introduction
Josef Bauer is a notable inventor based in Santa Clara, CA, who has made significant contributions to the field of automatic speech recognition. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of speech recognition systems.
Latest Patents
Bauer's latest patents include innovative methods and systems for recognizing speech. One of his patents, titled "Automatic speech recognition with filler model processing," describes a system that utilizes processors to identify phonemes in a speech signal. This system performs a comparison of these phonemes to a phonetic string representative of a wake-up phrase. It determines if any phonemes correspond to the wake-up phrase and generates a hypothesis of a command by excluding the wake-up phrase from the analysis. Another patent under the same title outlines an automatic speech recognition (ASR) system that employs a filler model to analyze speech signals. This model helps in determining whether the speech signal includes the wake-up phrase and generates a hypothesis of the underlying speech while excluding the wake-up phrase.
Career Highlights
Josef Bauer is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies in speech recognition. His work at Intel has positioned him as a key player in advancing the capabilities of ASR systems.
Collaborations
Throughout his career, Bauer has collaborated with talented individuals such as Tobias Bocklet and Joachim Hofer. These collaborations have contributed to the innovative projects he has undertaken in the field of speech recognition.
Conclusion
Josef Bauer's contributions to automatic speech recognition demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of speech processing and a drive to improve user interaction with technology. His work continues to influence the development of advanced speech recognition systems.