Company Filing History:
Years Active: 2022-2024
Title: Neerad Dilip Phansalkar: Innovator in Audio Processing Technologies
Introduction
Neerad Dilip Phansalkar is a prominent inventor based in Half Moon Bay, California. He has made significant contributions to the field of audio processing, particularly through his innovative patents. With a total of 3 patents, Phansalkar's work focuses on enhancing speech quality using advanced machine learning techniques.
Latest Patents
One of his latest patents is a "Speech enhancement machine learning model for estimation of reverberation in a multi-task learning framework." This invention describes techniques for training and utilizing a machine learning model that estimates the amount of reverberation in audio recordings. The model architecture is designed to take noisy, reverberant recordings as input and output estimates of clean signals, background noise, and reverberation. This multi-task learning approach improves the model's performance in enhancing input speech.
Another notable patent is the "Convolutional neural network with positional embeddings for audio processing." This invention involves using a convolutional neural network that incorporates positional embeddings to process audio data. The system receives audio data and utilizes a network that concatenates frequency-positional embeddings at the input layer to perform various audio processing tasks effectively.
Career Highlights
Neerad Phansalkar is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in audio processing. His work has garnered attention for its practical applications in improving speech clarity and quality in various environments.
Collaborations
Phansalkar collaborates with talented individuals in his field, including Ritwik Giri and Mehmet Umut Isik. These collaborations enhance the innovative potential of his projects and contribute to the advancement of audio processing technologies.
Conclusion
Neerad Dilip Phansalkar is a key figure in the realm of audio processing innovations. His patents reflect a commitment to improving speech enhancement through cutting-edge machine learning techniques. His contributions are paving the way for advancements in audio technology that can benefit various applications.