Location History:
- Yokohama, JP (1995 - 2023)
- Tokyo, JP (2024)
Company Filing History:
Years Active: 1995-2024
Title: Manabu Okamoto: Innovator in Acoustic Model Learning
Introduction
Manabu Okamoto is a prominent inventor based in Yokohama, Japan. He has made significant contributions to the field of acoustic model learning, holding a total of 13 patents. His work focuses on enhancing sound recognition technology, which has applications in various industries.
Latest Patents
Okamoto's latest patents include an acoustic model learning apparatus, an acoustic model learning method, and a program. This technology enables the learning of an acoustic model with a high degree of accuracy in sound recognition within a short calculation period. The acoustic model learning device features a loss calculation unit that computes the loss of sound data, a curriculum corpus generation unit that creates a curriculum corpus from subsets of the learning corpus, and an acoustic model update unit that refines the acoustic model based on the curriculum corpus. Additionally, a first end condition determination unit is included to manage the output of the acoustic model based on predetermined conditions.
Another notable patent is the learning speech data generating apparatus, which includes a voice conversion unit that enhances speech data clarity in noisy environments. This apparatus utilizes noise data to ensure that the speech data remains audible, thereby improving the quality of training speech data.
Career Highlights
Throughout his career, Okamoto has worked with leading companies such as Hitachi, Ltd. and Nippon Telegraph and Telephone Corporation. His experience in these organizations has allowed him to develop and refine his innovative technologies in sound recognition.
Collaborations
Okamoto has collaborated with notable colleagues, including Takahiko Kozaki and Morihito Miyagi. Their combined expertise has contributed to advancements in the field of acoustic modeling.
Conclusion
Manabu Okamoto is a distinguished inventor whose work in acoustic model learning has paved the way for advancements in sound recognition technology. His patents reflect a commitment to innovation and excellence in his field.