Merge branch 'master' of https://github.com/primaryobjects/voice-gender

primaryobjects · Dec 16, 2021 · 1d7712e · 1d7712e
2 parents fa820bb + e07ee30
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diff --git a/Web/readme.md b/Web/readme.md
@@ -7,20 +7,6 @@ The program allows users to upload an audio file or provide a url to an audio re
 
 The web version is developed with R Shiny.
 
-## Screenshots
-
-### Results of an analysis
-
-![Homepage and analysis.](images/screenshot1.png)
-
-### Frequency graph
-
-![Frequency graph.](images/screenshot2.png)
-
-### Spectrogram
-
-![Spectrogram.](images/screenshot3.png)
-
 ## Installation
 
 1. Install the required Linux libraries with the following command.
@@ -31,3 +17,17 @@ sudo apt-get install libcurl4-openssl-dev cmake r-base-core fftw3 fftw3-dev pkg-
 2. If debugging using VSCode, install the [R Debugger](https://github.com/ManuelHentschel/VSCode-R-Debugger) from the Extensions panel.
 
 3. In VSCode, click the Debug tool and run **Launch Shiny App**. A new browser should display with the web application running.
+
+## Screenshots
+
+### Results of an analysis
+
+> ![Homepage and analysis.](images/screenshot1.png)
+
+### Frequency graph
+
+> ![Frequency graph.](images/screenshot2.png)
+
+### Spectrogram
+
+> ![Spectrogram.](images/screenshot3.png)
diff --git a/readme.md b/readme.md
@@ -5,7 +5,7 @@ Gender Recognition by Voice and Speech Analysis
 
 Run the online [demo](https://voicegender.herokuapp.com).
 
-Read the detailed [article](http://www.primaryobjects.com/2016/06/22/identifying-the-gender-of-a-voice-using-machine-learning/).
+Read the full article [Identifying the Gender of a Voice using Machine Learning](http://www.primaryobjects.com/2016/06/22/identifying-the-gender-of-a-voice-using-machine-learning/).
 
 This project trains a computer program to identify a voice as male or female, based upon acoustic properties of the voice and speech. The model is trained on a dataset consisting of 3,168 recorded voice samples, collected from male and female speakers. The voice samples are pre-processed by acoustic analysis in R and then processed with artificial intelligence/machine learning algorithms to learn gender-specific traits for classifying the voice as male or female.