semvec/pypi-packages huggingface dataset:
fotmob-api 1.0.0
API wrapper for Fotmob
License: MIT
Requires Python: >=3.7

# FotMob API

The **fotmob-api** Python package gives an easy way to interact with the unofficial [FotMob](https://www.fotmob.com/) API.
It enbales you to extract shots and xG values for matches and aggregated stats such as xG, xA and all other stats you can find on FotMob.

## Installation

The package is availbale on PyPi to be installed using `pip`:

```bash
pip install fotmob-api
```

Or install the latest development version:

```bash
pip install git+git@github.com:C-Roensholt/fotmob-api.git
```

## Usage

See [examples](./examples/) for basic usage of the API wrapper.

## Documentation

ToDo!

## Contributing

ToDo!
vchunk 1.0.4
Audio effects classifiers for voice
License: MIT

# Voice Of Chunk

What do we want? Clean vocal acapellas! When do we want them? Now!

# Cascaded Sorting

![Flowchart](docs/flowchart.png)

This repository hosts several models that are meant to cascade results. The output of the final classifier is audio ready to be used in training a Singing Voice Conversion (SVC) model.

## State of Research

-   [x] Voice vs. Non-voice classifier
-   [x] Reverb vs. Dry classifier
-   [ ] Polyphony vs. Monophony classifier
-   [ ] Multi-voice unison vs. Single-voice unison

# Installation

This package was developed using Python 3.11.4, and thus that version of python is recommended.

Clone this repository and make it the current directory in the terminal.

The, open a new virtual environment and install the requirements.

```console
pip install -r requirements.txt
```

## Model Weights

Download model weights from my dropbox.

```console
cd voicequalityclassifier
wget https://www.dropbox.com/scl/fi/w6yqkhzpq4l8wpw53zrjk/weights.zip?rlkey=3ju9ofcn93wdklzc3sr8nlezz&dl=1 -O weights.zip
unzip weights.zip
cd ..
```

# Usage

For some example audio download a few files with this command:

```console
wget https://www.dropbox.com/scl/fi/sclv9z73xobw2hbagjqob/audio.zip?rlkey=3cq04ds7ymt5q7d4v1dzkfgib&dl=1 -O audio.zip
unzip audio.zip
```

The `voicequalityclassifier` is a package that can also be run as a module. To run the whole classification scheme, run

```console
./env/bin/python voicequalityclassifier/main.py --input path/to/audio.wav
```

In the console, you will see the classification results. If you see:

```console
for file path/to/audio.mp3 detected nonvoice
```

This means that no voice was detected (i.e. the source is an instrumental stem or stereo mix).
If you see:

```console
for file path/to/audio.mp3 detected voice
for file path/to/audio.mp3 detected reverb
```

This means there was reverb detected on the track.

Finally, if you see:

```console
for file path/to/audio.mp3 detected voice
for file path/to/audio.mp3 detected dry
```

Then we're in business and we have a dry acapella file.

```console
for file path/to/audio.mp3 detected voice
for file path/to/audio.mp3 detected reverb
```

This means there was reverb detected on the track.

Finally, if you see:

```console
for file path/to/audio.mp3 detected voice
for file path/to/audio.mp3 detected dry
```

Then we're in business and we have a dry acapella file.