This paper describes the adaptation of Efros & Leung's pixel-based Image Texture Synthesis (ITS) to 1-D for Sound Texture Synthesis (STS). The goal is the creation of a long, dynamic, sound "texture" from a much shorter audio training example. The Dual-Tree Complex Wavelet Transform (DT-CWT) is used for optimization, to good effect. We define the concept of High Resolution Sound Texture Synthesis (HR-STS) as the texturing of high resolution, multi-channel sound recordings with retention of stereophonic effects. HR-STS is useful for installations, computer games, audio repair and low-bandwidth media devices. We test a variety of real-world training examples including ambient sounds, speech snippets and music. The resulting sound textures are plausible and varied without sounding "tiled" from the training examples.
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