This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Amazon Technologies, Inc.. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019
Title: Praveen Kumar Akarapu: Innovator in Automatic Speech Recognition
Introduction
Praveen Kumar Akarapu is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of automatic speech recognition (ASR). His innovative work has led to the development of a fully managed and continuously trained ASR service.
Latest Patents
Akarapu holds one patent for his invention titled "Techniques for automated speech recognition." This patent describes a system where users can upload audio files to a storage location. The ASR service then analyzes the audio file using an acoustic model to divide the audio data into words. A language model is employed to identify the words spoken in the audio file. The acoustic model can be trained using audio sentence data, which enhances the transcription service's accuracy for lengthy audio data. The results are punctuated and normalized, providing users with a clear and accurate transcript.
Career Highlights
Praveen Kumar Akarapu is currently employed at Amazon Technologies, Inc. His work at Amazon has allowed him to focus on advancing ASR technologies. His contributions have been instrumental in improving the efficiency and accuracy of speech recognition systems.
Collaborations
Some of his coworkers include Ashish Singh and Deepikaa Suresh. Their collaborative efforts contribute to the innovative environment at Amazon Technologies, Inc.
Conclusion
Praveen Kumar Akarapu is a key figure in the development of automatic speech recognition technologies. His patent and work at Amazon Technologies, Inc. highlight his commitment to innovation in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
