semvec/pypi-packages huggingface dataset:
openspeechlib 0.0.2
Useful libraries to process and generate speech
License: MIT

# openspeechlib

This is a package that includes several utilities to extract information from a speech signal, 
download open speech resources and others related speech activities.

Currently openspeechlib is in active development, if you have suggestion, requests of improvements
please leave a issue using the  [Github Issue system for this repository](https://github.com/open-speech-org/openspeechcorpus-cli/issues)


## Some useful links
- Feature Extraction
  - MFCC
    - [LibRosa](https://librosa.github.io/librosa/generated/librosa.feature.mfcc.html)
    - [Speech Features](https://github.com/jameslyons/python_speech_features)
    - [Numpy ML](https://github.com/ddbourgin/numpy-ml)
    - [Speech Signal Processing and Classification](https://github.com/gionanide/Speech_Signal_Processing_and_Classification)
    - [Sonopy](https://github.com/MycroftAI/sonopy)
    - [SpeechPy](https://github.com/astorfi/speechpy)
  - PLP
  - LFCC
  - WPF
  - SBC
  - MWP-ACE
  - PNCC
    - [Power Normalized Cepstral Coefficients for Robust Speech Recognition](http://www.cs.cmu.edu/~robust/Papers/OnlinePNCC_V25.pdf)
    - [EVALUATION OF PNCC AND EXTENDED SPECTRAL SUBTRACTION METHODS FOR
ROBUST SPEECH RECOGNITION](https://www.eurasip.org/Proceedings/Eusipco/Eusipco2015/papers/1570104069.pdf)
    - [PNCC](https://github.com/supikiti/PNCC) 
    
    
- Model Training
  - DTW
    - [DTW Speech Recognition](https://github.com/lzm0706/DTW-Speech-Recognition)
  - HMM
    - [Speech Processing for machine learning](https://haythamfayek.com/2016/04/21/speech-processing-for-machine-learning.html)
  - ANN
    - [Deep Speech](https://github.com/mozilla/DeepSpeech)
    
- Aligners
  - [Alignment Duration](https://github.com/georgid/AlignmentDuration)
  - [Montreal Forced Aligner](https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner)
  - [Prosodylab Aligner](https://github.com/prosodylab/Prosodylab-Aligner)
  - [Praat](https://github.com/praat/praat)
  - [SPPAS](https://github.com/brigittebigi/sppas)
  
- Recognizers
  - HMM
    - [Digit Recognizer](https://github.com/Ralireza/spoken-digit-recognition)
    - [Speaker Recognition](https://github.com/Abhay0899193/Speaker-Recognition)

- Generators
  - [espeak-ng](https://github.com/espeak-ng/espeak-ng)
  
  
- Applications
  - [Speaker Identification](https://github.com/GauravWaghmare/Speaker-Identification)
  - [Emotion Recognition](https://github.com/x4nth055/emotion-recognition-using-speech)
  - [Gender Recognition](https://github.com/SuperKogito/Voice-based-gender-recognition)
    
### Logging

If you want verbose information of the process please use in your script

```python
import logging
logging.basicConfig(level=logging.DEBUG)
```
spbdl 2.0.1
Download images from shitpostbot database
License: MIT
Keywords: shitpostbot,spb,spbdl

<div>
  <p>
  	  <a href="https://pypistats.org/packages/spbdl"><img src="https://img.shields.io/pypi/dm/spbdl.svg"></a>
  	  <a href="https://travis-ci.com/boidushya/spbdl/"><img src="https://travis-ci.com/Boidushya/spbdl.svg?branch=master&amp;status=passed" /></a>
	  <a href="https://pypi.org/project/spbdl/"><img src="https://img.shields.io/pypi/v/spbdl.svg" alt="pypi"></a>
	  <a href="https://pypi.python.org/pypi/spbdl/"><img src="https://img.shields.io/pypi/pyversions/spbdl.svg" /></a>
  </p>
</div>

# SPBDL

Download images (custom/random) from shitpostbot database!

# SPBDL Module Installation:

#### Install with pip:
```
pip install spbdl
```
#### Install from source:
```
$ git clone https://github.com/boidushya/spbdl  
$ cd spbdl
$ python setup.py install
```

# USAGE:
```python
import spbdl
import requests

def dl(url):
    r = requests.get(url)
    with open("randomImage.jpg","wb") as f:
        f.write(r.content)
#Random image download
url = spbdl.randImg()
#Queried image download:
url2 = spbdl.getImg("epic") #Uses the default arguments for getting image url
url3 = spbdl.getImg("epic",review="accepted",sort='top', order='created_at',direction="ASC") #Passes custom arguments for getting image url
dl(url)
#dl(url2)
#dl(url3)
```

# ALLOWED VALUES FOR getImg ARGUMENTS:

* ##### query:
	* `<your search query>` (required)
* ##### review:
	* `accepted` (default)
	* `awaiting-yes`
	* `pending`
	* `awaiting-no`
	* `denied`
	* `all`
* ##### sort:
	* `random` (default)
	* `top`
	* `bottom`
* ##### order:
	* `total_rating` (default)
	* `last_reviewed_at`
	* `created_at`
* ##### direction:
	* `DESC` (default)
	* `ASC`