This tutorial outlines a way to use Dirac to change pitch and speed independently of each other using FMOD to process and play back sound in real time. The example presented here uses FMOD’s streaming sound API but can be easily adapted for offline processing and other use cases as well. Read more
This page is dedicated exclusively to the topic of formant movement occuring when pitch shifting sampled sounds. It will detail the effects involved and show pictures of the effects that cause unnatural sounding pitch shifts.
With the increasing speed of todays desktop computer systems, a growing number of computationally intense tasks such as computing the Fourier transform of a sampled audio signal have become available to a broad base of users. Being a process traditionally implemented on dedicated DSP systems or rather powerful computers only available to a limited number of people, the Fourier transform can today be computed in real time on almost all average computer systems. Read more
If you’re into signal processing, you will no doubt say that the headline is a very tall claim. I would second this. Of course you can’t learn all the bells and whistles of the Fourier transform in one day without practising and repeating and eventually delving into the maths. However, this online course will provide you with the basic knowledge of how the Fourier transform works, why it works and why it can be very simple to comprehend when we’re using a somewhat unconventional approach. Read more
This tutorial gives a brief overview of the most popular algorithms used for achieving time stretching and pitch shifting in a musical context, along with their advantages and disadvantages. We provide audio examples to demonstrate common artifacts and effects associated with these processes, and provide pointers to papers and other resources on the net. Read more