https://github.com/efecanxrd/speech-recognition

Identify speaker from given speech signal using MFCC features and Gaussian Mixture Models
https://github.com/efecanxrd/speech-recognition

gaussian-mixture-models gaussianmixturemodel gmm mfcc mfcc-algorithm mfcc-features python python-speech-features python-speechrecognition python27 recognition sklearn sklearn-gmm speech speech-recognition speech-recognizer tensorflow

Last synced: 20 days ago
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Identify speaker from given speech signal using MFCC features and Gaussian Mixture Models

• Host: GitHub
• URL: https://github.com/efecanxrd/speech-recognition
• Owner: efecanxrd
• License: mit
• Created: 2022-01-19T16:55:29.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-23T08:46:47.000Z (almost 2 years ago)
• Last Synced: 2024-12-22T03:05:04.081Z (20 days ago)
• Topics: gaussian-mixture-models, gaussianmixturemodel, gmm, mfcc, mfcc-algorithm, mfcc-features, python, python-speech-features, python-speechrecognition, python27, recognition, sklearn, sklearn-gmm, speech, speech-recognition, speech-recognizer, tensorflow
• Language: Python
• Homepage:
• Size: 1.89 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Speech Recognition

![EfecanLogo](https://avatars.githubusercontent.com/u/66366306?s=100&u=dc5e6f5b4a05d07958d9a867b803760aa2b1613e&v=4)

### A project with deep learning networks that recognizes who owns a voice using libraries like scipy, sklearn, and python-speech-features

![XhW](https://i.imgur.com/qHAcfhX.gif)

## Setup This Project

### Install Python2.7

- I recommend that you install Anaconda and install python 2.7 from the environments part of anaconda.

- After this installation, you can run the project by going to the project directory in your terminal and typing ```conda activate python2x```

### Install Libraries

- Switch to **Python2x** environment by typing ```conda activate Python2x```

- Then you can install the modules by typing ```pip install -r requirements.txt``` in the terminal. 

- Since you are running the project around the **Python2x** environment, you must also enable **Python2x** for use **pip** command

## How this is working?

A program that recognizes the sound of the specified file using models using methods such as mfcc gmm. **Code comments were entered as # comments on each line.**

- train.py : Used for model audio files in trainData folder

- recognize.py : It is used to define a selected file or all files in the data folder.

- requirements.txt : Text file containing the necessary libraries

- ./models : The folder where train.py outputs and recognize.py uses. Here are the models of the trained audio files.

- ./Data : The files here use recognize.py. Here you should drop the file you want to define .

- ./trainingData : Sound files to be used for modeling are placed here. 

For each audio file, it should be recorded as **VoiceName-Integer/VoiceFile.wav** Example: **Melissa-005/Melissa.wav** | Since the folder name is split, it should be saved like this.

 You can get information by the link below. You might need to translate the page 


[](https://efecanxrd.medium.com/mfcc-mel-frequency-cepstral-coefficients-ve-gmm-gaussian-mixture-model-teknikleri-f81a2cc632a5)