Metadata-Version: 2.1
Name: openspeechlib
Version: 0.0.2
Summary: Useful libraries to process and generate speech
Home-page: https://github.com/open-speech-org/openspeech
Author: contraslash S.A.S.
Author-email: ma0@contraslash.com
License: MIT
Project-URL: Bug Reports, https://github.com/open-speech-org/openspeech/issues
Project-URL: Source, https://github.com/open-speech-org/openspeech
Project-URL: Contraslash, https://contraslash.com/
Description: # 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)
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
