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:
-
- Implementar unidades.
-
- escolher um conjunto de parametros (tamanho de filtro da convolução, número de layers, tamanho do batch de dados por atualização da apredizagem).
-
- Validação do funcionamento do modelo com poucos dados triviais (ruido de duas frequencias diferentes a principio). Overfit Aqui
-
- Cross-validation.
-
- Check-pointing.
-
- Neural Network Selection Criteria.
Installation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
audiomodels-0.1.dev3.tar.gz
(37.3 kB
view details)
Built Distribution
File details
Details for the file audiomodels-0.1.dev3.tar.gz
.
File metadata
- Download URL: audiomodels-0.1.dev3.tar.gz
- Upload date:
- Size: 37.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97fa2aa48839dc114d8d6cc0407d23aae57ffb014490629e04ca16f831158c67 |
|
MD5 | 595e921d91dce3d95797343a3ba3ce17 |
|
BLAKE2b-256 | 5b213ee6ed4979a43ff5e1e285777a98e2c3992e9ecc4122bea5a17426790e87 |
File details
Details for the file audiomodels-0.1.dev3-py2-none-any.whl
.
File metadata
- Download URL: audiomodels-0.1.dev3-py2-none-any.whl
- Upload date:
- Size: 40.5 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64f854b6bb62ef694cd472be6a7c5f27cfedf56923fa74eb3f9a6a57a41fa364 |
|
MD5 | 36cbfc44dcdf2bbfb8303d7c467606fa |
|
BLAKE2b-256 | de688c4cd7ce2b84832f8eda13ea0e06e01e224c5bb93a84a569db75264a81ad |