Staines, United Kingdom

Md Asif Jalal

This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Md Asif Jalal. Retrieved from https://idiyas.com/inventor/md-asif-jalal

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Md Asif Jalal: Innovator in Automatic Speech Recognition

Introduction

Md Asif Jalal is a prominent inventor based in Staines, GB. He has made significant contributions to the field of automatic speech recognition (ASR). His innovative work focuses on enhancing machine learning models to improve speech recognition capabilities.

Latest Patents

Md Asif Jalal holds a patent for a "Method and apparatus for automatic speech recognition." This patent describes a computer-implemented method for training a machine learning ASR model. The method involves injecting a speaker anonymiser into the model, which generates anonymised acoustic embeddings. This process is crucial for training the ASR model on audio data containing utterances that need to be recognized.

Career Highlights

Md Asif Jalal is currently employed at Samsung Electronics Ltd., where he continues to develop cutting-edge technologies in speech recognition. His work has been instrumental in advancing the capabilities of ASR systems, making them more efficient and effective.

Collaborations

Some of his notable coworkers include Jisi Zhang and Karthikeyan Saravanan. Their collaboration has contributed to the success of various projects within the company.

Conclusion

Md Asif Jalal is a key figure in the field of automatic speech recognition, with a focus on innovative methods that enhance machine learning models. His contributions are paving the way for advancements in this technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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