Skip to main content

audio models package with semantic features identification

Project description

Audio Models Stattus4

Audio Models and statistical tools used in Devs for Stattus4 Start-Up of Water Wasting Detection

Note: this is a Alpha Version.

Statistical Analysis

Filtering

Spectral

Inverse Filtering

  • Inverse Filtering with Tensorflow Optimization and Stochastic Gradient Descent

Audio Deep Learning

  • Deep Neural Networks for Tagging Audio based on binary tagged database using Audio Features Models.
  • TODO: Road-Map Milestones:
    1. Implementar unidades.
    1. escolher um conjunto de parametros (tamanho de filtro da convolução, número de layers, tamanho do batch de dados por atualização da apredizagem).
    1. Validação do funcionamento do modelo com poucos dados triviais (ruido de duas frequencias diferentes a principio). Overfit Aqui
    1. Cross-validation.
    1. Check-pointing.
    1. Neural Network Selection Criteria.

Installation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for audiomodels, version 0.1.dev3
Filename, size File type Python version Upload date Hashes
Filename, size audiomodels-0.1.dev3-py2-none-any.whl (40.5 kB) File type Wheel Python version py2 Upload date Hashes View hashes
Filename, size audiomodels-0.1.dev3.tar.gz (37.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page