Monday, February 12, 2018

Nouveau Sound Tracker Samples

Relive the sounds of the 90s with Thrilling 16 bit Mono! CD after CD of Cutting Edge Samples for your Amiga or MS-Dos computer. Supports Kontakt with thrilling Reverberation, Equalization and Envelope Control technologies! Now in downloadable form to save the cost of postage or anything else! So hot you will need to wear your Asbestos Suit!
Legal notice NO CDs are included in this offer.

Download CD #1. The sound of 36 Flute Type Instruments. Over 4000 samples.
Listen to the World Class Demo from a Midi File found on the Internet Here!

Download CD #2. With 21 Acoustic Keyboards this CD this collection will amaze your friends who probably have no more 3 or 4 clavichords or pianos in their entire house. With 6500 samples only cutting edge zip compression technology allowed us to fit this on one internet!
Shhh. Don't tell anyone but we made a mistake and left out the samples for #11. Here is #11 and we'll get the original file fixed.
Listen to the Winter Games Demo from a midi file found on the interwebs here!

Download CD #3. The Beauty of the Human Voice shines through every bit of these 30 Choral Instruments. Over 1000 samples of singing goodness! Lots of happy vowels.
Listen to Why We Never Let bigcat Near A Keyboard!

Download CD #4.  Big, Bad, Bold Brass. 35 Brass instruments and well over 5000 samples. For those of you who love Heavy Metal we have a couple Tubas! Love that joke.

Download CD #5. Lots O Strings. 35 instruments and over 6000 samples.
Polyphonic NKIs. Use these to turn the strings from mono to polyphonic.

Magenta is a Google Brain project that has created something called NSynth, I can apparently use the NSynth Dataset to create instruments.

License: The dataset is made available by Google Inc. under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Paper: Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, and Mohammad Norouzi. "Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders." 2017.