Building up samples one step at a time like this is computationally expensive, but we have found it essential for generating complex, realistic-sounding audio.
Wave Nets open up a lot of possibilities for TTS, music generation and audio modelling in general.
Learn to aurally recognize VCO waveforms, filter bandwidths, LFO rates, ADSR parameters, effects types, and more.
Get the edge on sound design by educating yourself with this new approach to tutorial software.” “Syntorial is an excellent resource for learning and mastering synthesis.
“Attack impact” (sometimes called “bite” or “attack sharpness”) is strongly connected to spectral features during the first 20–100 ms of sound, as well as the rise time of the sound.
Figure 2: Analysis of piano notes using analyze.m Download sound file of a piano playing: A0 A1 A2 A3 (low A) A4 (middle A) A5 (high A) Figure 3: Analysis of several instruments using analyze.m Download sound file of instruments playing A4 (middle A): tuning fork flute violin singer Sound Library includes clips of numerous musical instruments and sounds.
Ableton Live has undoubtedly matured as a production and performance platform – and Live 10 in particular has so much to offer guitarists and bass players, whether they’re technophobes or dedicated gear-heads.
This post presents Wave Net, a deep generative model of raw audio waveforms.
The above animation shows how a Wave Net is structured.
It is a fully convolutional neural network, where the convolutional layers have various dilation factors that allow its receptive field to grow exponentially with depth and cover thousands of timesteps.