Our Queen, no not Elizabeth but Rest In Peace, Beyonce has returned from the heavens to deliver her highly anticipated seventh studio album. With somewhat of a stealth and cryptic release, Renaissance was a serendipitously timed breath of fresh air which was met with critical acclaim. The lead single, "Break My Soul" (which I have personally listened to over 200 times), was accompanied by an extremely stimulating lyric video. Yes, I am a notable Artist, but like everyone else I am huge fan of Beyonce. Her songs are amazing and her visuals are always spectacular.

In this article, I will discuss Outliers and Model Selection. When I was an undergraduate student of Science at the University of Waterloo, my lab professor always said to keep all data, even if it is an outlier. This is because we want to keep the authenticity of the data and to be able to make scientific discoveries. Many discoveries have been found on accidents, so let's explore whether you should delete that data point because you drop your hamburger on your experiment or not. Running regression is one thing, but choosing the suitable model and the correct data is another.

What would you want to do if you could generate the voice of your favorite celebrity? Before I get ahead of myself, let me clearly define the objective of this blog. Given text and some voice clips of the desired speaker (say, Beyonce), I want my AI to output an audio clip where Beyonce is speaking the text that I input to this code. So essentially, this is the same Text To Speech (TTS) problem we saw earlier but with an added constraint to output the speech in a particular speaker's voice. In this blog, I share two methods that can complete our task, and I will be comparing these two methods at the end.