Company Filing History:
Years Active: 2025
Title: Innovations of Oriol Nieto-Caballero in Spoken Language Recognition
Introduction
Oriol Nieto-Caballero is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of spoken language recognition through his innovative patent. His work focuses on utilizing advanced neural network architectures to enhance the accuracy and efficiency of language recognition systems.
Latest Patents
Oriol holds a patent for a technology that employs a neural network with an efficient and lightweight architecture for spoken language recognition. The patent describes a method where features are generated from an audio signal comprising speech. These features are derived by converting the audio signal into a normalized spectrogram. The neural network processes these features through one or more convolutional layers, ultimately producing an output activation layer. Each neuron in this layer corresponds to a specific language, generating activation values that indicate the presence of one or more languages from a predefined set.
Career Highlights
Oriol is currently employed at Adobe, Inc., where he continues to develop and refine his innovative technologies. His work at Adobe has allowed him to collaborate with other talented individuals in the field, further enhancing the impact of his inventions.
Collaborations
Some of Oriol's notable coworkers include Zeyu Jin and Justin Salamon. Their collaborative efforts contribute to the advancement of technologies in spoken language recognition and related fields.
Conclusion
Oriol Nieto-Caballero's contributions to spoken language recognition exemplify the innovative spirit of modern inventors. His patent reflects a significant advancement in the use of neural networks for language processing, showcasing the potential for future developments in this area.