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.github/workflows/python-package.yml

@@ -0,0 +1,40 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python package
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.9", "3.10", "3.11"]
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

README.md

@@ -1,2 +1,35 @@
-# Voice-Recognition-Qafaraf-and-Amharic
 Qafar-af and Amharic voice Command Recognition project to control the movement of wheelchair !!!
+
+# Qafar-af Speech Command Recognition: Recognizing keywords
+
+This repository is demonstrates audio preprocessing and building a machine learning model for Qafaraf and Amharic speech command recognition. The audio files in the WAV format is organized in seven different folders for each command and each WAV audio file are 1 second long with 16khz sampling rate the following five voice command.
+  - "Qembis",     (start)
+  - "Derreh",     (back)
+  - "Gurra",      (turn left)
+  - "Migda",      (turn right)
+  - "Solis",      (stop)
+  - "Noise" 
+  - "unknown"
+
+
+<table class="tfo-notebook-buttons" align="left">
+  <td>
+    <a target="_blank" href="https://github.com/Mubarekethio/Voice-Recognition-Qafaraf-and-Amharic-">
+    <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" />
+    GitHub Link</a>
+  </td>
+  <td>
+    <a target="_blank" href="https://www.linkedin.com/in/mubarek-kebede-582012148">
+    <img src="https://content.linkedin.com/content/dam/me/business/en-us/amp/brand-site/v2/bg/LI-Bug.svg.original.svg " width="30" height="30" />
+    Linkdin</a>
+  </td>
+  <td>
+    <a target="_blank" href="https://x.com/mubarekethio">
+    <img src="https://help.twitter.com/content/dam/help-twitter/brand/logo.png " width="30" height="30" />
+    Twitter</a>
+  </td>
+
+  <td>
+    <a href="https://drive.google.com/drive/folders/1ztXhMlpbRliUlhhkVw--uLETXYj3yQSN"><img src="https://www.tensorflow.org/images/download_logo_32px.png " />Download notebook</a>
+  </td>
+</table>