Peter V Desouza

Title: Innovations of Peter V Desouza

Introduction

Peter V Desouza is an accomplished inventor based in Mahopac Falls, NY (US). He has made significant contributions to the field of speech recognition technology, holding a total of 2 patents. His work focuses on methods and apparatuses that enhance the modeling of spoken words.

Latest Patents

Desouza's latest patents include a "Method and apparatus for generating models of spoken words based on a match score." This invention involves a sophisticated approach to modeling words by calculating match scores that represent the closeness of a match between probabilistic word models and the acoustic features of utterances. The method allows for improved accuracy in speech recognition by utilizing both selection and expansion sets of probabilistic word models.

Another notable patent is the "Fast algorithm for deriving acoustic prototypes for automatic speech." This apparatus generates a set of acoustic prototype signals for encoding speech. It includes a memory for storing a training script model and employs an acoustic matcher to estimate paths through the model, producing feature vector signals that represent the utterance's characteristics. The clustering of these signals into groups enhances the efficiency of speech recognition systems.

Career Highlights

Peter V Desouza is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of speech technology. His work at IBM has allowed him to collaborate with leading experts in the industry, further advancing the capabilities of speech recognition systems.

Collaborations

Some of his notable coworkers include Peter F Brown and Steven V De Gennaro. Their collaborative efforts contribute to the development of cutting-edge technologies in speech processing.

Conclusion

Peter V Desouza's contributions to speech recognition technology through his patents and work at IBM highlight his role as a significant innovator in the field. His inventions are paving the way for advancements in how machines understand and process human speech.