sai santosh nooney

sai santosh nooney

100 2nd Ave N #150, St. Petersburg, FL 33701, USA

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sai s. created project Application of LMS and RLMS Filter to Cancel Out the Noise in Data

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Application of LMS and RLMS Filter to Cancel Out the Noise in Data

Studied LMS and RLMS techniques, code is written and tested on sample data.

Applied adaptive filters LMS and RLS for noise cancellation in a dataset comprising of biosignals with unknown noise and compared their performance using noise figure.

Studied performance of LMS and RLS algorithm for diverse types of noise

Familiarized with audio processing blocks such as AEC, ANC, and Noise suppression

sai s. added photos to project Speaker Recognition Using GFCC and Deep Neural Networks

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Speaker Recognition Using GFCC and Deep Neural Networks

Extract GFCC features from 34 speaker's speech data

Train Deep Neural Network with text-independent and text-dependent speech data at various SNR levels and test to identify the speakers.

Speech data consists of both female and male voices of approximately 5000 sentences. SNR levels range from -6dB to +6dB and speech data are to be considered randomly among the data sets for randomness in the dataset.

sai s. added photos to project Speaker Recognition Using GFCC and Deep Neural Networks

Medium 1f343919 4f47 40ca 8435 6d0a6be3828b

Speaker Recognition Using GFCC and Deep Neural Networks

Extract GFCC features from 34 speaker's speech data

Train Deep Neural Network with text-independent and text-dependent speech data at various SNR levels and test to identify the speakers.

Speech data consists of both female and male voices of approximately 5000 sentences. SNR levels range from -6dB to +6dB and speech data are to be considered randomly among the data sets for randomness in the dataset.

Default user avatar 57012e2942

sai s. created project Speaker Recognition Using GFCC and Deep Neural Networks

Medium 800ae5d6 01e6 4698 a210 f33316bbf694

Speaker Recognition Using GFCC and Deep Neural Networks

Extract GFCC features from 34 speaker's speech data

Train Deep Neural Network with text-independent and text-dependent speech data at various SNR levels and test to identify the speakers.

Speech data consists of both female and male voices of approximately 5000 sentences. SNR levels range from -6dB to +6dB and speech data are to be considered randomly among the data sets for randomness in the dataset.

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Anuj Duggal

Googler . Founder - Student Yatra and UX Project . Former Graphics Software Engineer at Intel . Google Developer Group Bangalore organizer

Bengaluru, Karnataka 560102, India

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Pooja Baraskar

Pooja Baraskar is an Intel Innovator and Microsoft MVP. She is a Microsoft Certified Professional and C# specialist. She enjoys developing games rather than playing. She has develped many apps and games for Windows Store and Tizen Store. Her current interest is Internet of Things, hence won Microsoft Internet of Things competition and has been awarded at Azure Conference 2015 Pune also all her articles at CodeProject are prize winning. Recently she has been awarded as the Most Valuable Blogger by DZone. Know more about Pooja from her blog http://poojabaraskar.com/

Betul, Madhya Pradesh, India

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Troi Williams

I am PhD student at the University of South Florida and my research lies at the intersection of machine learning, computer vision, and robotics. Currently, my research involves using machine learning and computer vision to teach small, unmanned aerial systems how to navigate in complex, natural environments in an autonomous and intelligent manner.

Tampa, FL, USA

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Student Ambassador
  • Projects 2
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Ramy Mounir

PhD Student in the Mechanical Engineering Department at USF - Specialized in robotics and AI.

Tampa, FL, USA

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iOty

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Created: 09/06/2017

iOty is a project that implements DNN on the edge for faster inference compared to a cloud-only a...

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Intel RealSense™

Natural interaction, immersive, collaboration, gaming and learning, 3D scanning. Integrate tracki...

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Internet of Things

Jumpstart your prototyping without reinventing the wheel. The Intel® IoT Developer Program provid...

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Virtual Reality

VR, AR, mixed reality...you'll find projects based on all these new platforms here. Share your own!