Audio Signal Processing

Despite the popularity of sophisticated techniques like deep learning in audio processing, classical algorithms often are more efficient or yield superior results in many practical scenarios. Techniques such as equalization filtering and compression are essential for refining the audio signal during post-processing. Additionally, reverb is a popular tool not only for altering the sound’s texture but also as an enhancement in training datasets. Pitch shifting, too, is widely employed across various applications, from correcting minor errors in music recordings to modifying vocal tracks.

With our Instant Pitch Monitoring (IPM) and score-following technologies, we have demonstrated that it is indeed possible to track pitch of both polyphonic and monophonic recordings, relying on highly efficient signal processing algorithms. Whether your project involves enhancing musical quality or developing robust audio applications, our team is adept at identifying and implementing the most effective techniques tailored to your specific needs.