Metadata-Version: 2.1
Name: audiomodels
Version: 0.1.dev3
Summary:  audio models package with semantic features identification
Home-page: https://bitbucket.org/dpenalva/stattus4-audio-models/src/master/
Author: Daniel Penalva
Author-email: dkajah@gmail.com
License: UNKNOWN
Project-URL: Source, https://bitbucket.org/dpenalva/stattus4-audio-models/src/master/
Project-URL: Documentation, https://packaging.python.org/tutorials/distributing-packages/
Project-URL: Tracker, https://github.com/pypa/sampleproject/issues
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:
         - 0. 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).
         - 2. Validação do funcionamento do modelo com poucos dados triviais (ruido de duas frequencias diferentes a principio). Overfit **Aqui**
         - 3. Cross-validation.
         - 4. Check-pointing.
         - 5. Neural Network Selection Criteria.
        
        ## Installation
        
Keywords: physics,music,synthesis,psychophysics,symmetry,change ringing,campanology,group theory,toolbox,musical composition,art,artistic creation,experimental music,contemporary music,synthesizer,PCM,audio,sound,acoustics,signal processing,multimedia,psychoactive,rotation,permutation,mirror,speech,singing,speech synthesis,numpy,sonic art,hifi,hi-fi,noise,high fidelity,hyper-fidelity,LUT,vibrato,tremolo,AM,FM,ADSR,HRTF,spatialization,spatial location
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Telecommunications Industry
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Religion
Classifier: Intended Audience :: Other Audience
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Sound Synthesis
Classifier: Topic :: Multimedia :: Sound/Audio :: Editors
Classifier: Topic :: Multimedia :: Sound/Audio :: Mixers
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Artistic Software
Classifier: Topic :: Other/Nonlisted Topic
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Multimedia :: Sound/Audio :: Sound Synthesis
Classifier: Programming Language :: Python :: 2
Description-Content-Type: text/markdown
