semvec/pypi-packages huggingface dataset:
audiomodels 0.1.dev3
audio models package with semantic features identification
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

# 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