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Hi there, I'm Camilo πŸ‘‹

I have performed research and development activities related to signal processing and machine learning for health-care and biometric applications since five years now, both in academic and industrial partners.

My expertise spans machine learning, deep learning, and analysis of bio-signals to model and monitor the state of patients affected with different diseases.

I usually contribute and develop open source projects related to speech and natural language processing for health-care applications. I am the main contributor of Disvoice, a Python library to extract features from speech signals, used mainly for medical applications, and Apkinson, and android application designed to monitor the neurological state of patients with neurodegenerative disorders.

I will use the funds to acquire a proper work station to train deep learning models for speech processing application in health-care, which will be open source, and to keep pushing the science boundaries developing open source software for health-care applications in different scenarios

Find me around the web 🌎:

@jcvasquezc

First goal

Featured work

  1. jcvasquezc/DisVoice

    feature extraction from speech signals

    Jupyter Notebook 355
  2. jcvasquezc/phonet

    Keras-based python framework to compute phonological posterior probabilities from audio files

    Python 37
  3. jcvasquezc/AEspeech

    Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders

    Python 15

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Thanks! I appreciate your generosity.

$15 a month

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Thank you! for giving value to my work,
I will include you in the README as a sponsor, and I will also try to work on issues you report with extra priority.

$100 a month

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Wow, let me tell you: I did not expect this.

I will add you to the README as a sponsor as well. I will of course also treat issues you report with extra priority.

I will include features you would like to have in Disvoice or in additional projects

We should also have a short talk from time to time about how we continue working .