Timbre Transfer using Differentiable Digital Signal Processing - Deep Learning

Topics in Audio Signal Processing and Music Technology - 02 Differentiable Digital Signal Processing: Timbre Transfer - Deep Learning GitHub: 00:00:00 Timbre Transfer Demo 00:02:55 Installing and Importing the DDSP Library 00:03:10 Recording or Uploading Audio 00:05:08 Loading a Model: Violin 00:06:56 Resynthesizing Audio 00:08:01 Modifying Conditioning 00:09:06 Pre-trained Trumpet Model 00:10:22 Pre-trained Flute2 Model 00:11:18 Pre-trained Tenor Saxophone Model 00:12:56 Pitch Shifting 00:13:50 Demo Application Conclusions 00:15:19 DDSP ICLR Paper: The International Conference on Learning Representations 00:17:18 Install and Imports 00:18:16 Gin Config Framework 00:22:35 Recording Audio 00:26:23 base64: Decode the Base64 encoded bytes-like object or ASCII string 00:26:43 Audio bytes to Numpy 00:27:44 Uploading an Audio File 00:29:29 Colab Files Upload 00:33:43 Log Magnitude Spectrogram 00:36:40 DDSP Spectral Operations: Compute Magnitude 00:37:11 DDSP