Description

Input Sound

Tennis practice in rain sounds.

Synthesis Constraints

 
Source 1  

 1 source segments consisting of a tennis shot.

 
Target 1  

 Hard -1 exclusion constraint most of the time, low soft weights at the beginning,  high soft weights at the end.

 

 

Source 2  

  1 source segments consisting of another tennis shot.

 
Target 2  

 Hard -1 exclusion constraint most of the time, low soft weights at the beginning,  high soft weights at the end.

 

 

Source 3  

   1 source segments consisting of a hard tennis shot.

 
Target 3  

 Hard -1 exclusion constraint most of the time, low soft weights at the beginning,  high soft weights at the end.

 

 

Comments

Should hear: a few shots, followed by just rain sounds, followed by many shots in succession.

 

 

 

Self-Similarity Synthesis

 

Segmented Original Sound

 

Shows the segmentation boundaries on original sound

 

 

New Sound

 

(top) Shows the old segmented sound along each constraints source segments. (middle) Shows the synthesized sound. (bottom) Shows Constraint targets along with how the origin of the grains in these targets regions.

(top left) Shows the original probabilities for every grain at each instant of the synthesis over time. (top right) Shows how the original propabilities where rescaled according to the weights at that current in the synthesis. (bottom left) Illustrates the difference between the two initial and new probabilities. (bottom right) Shows the target weights for each constraints. The surface represents the final calculated weights for each grain. The final weights assigned to each grain depends on wether it satisfies or not the current constraint targets. A weight of zero means that it-s original probability is left unchanged. Shows the target weights for each constraints. The surface represents the final calculated weights for each grain. The final weights assigned to each grain depends on wether it satisfies or not the current constraint targets. A weight of zero means that it-s original probability is left unchanged. Shows which grains were excluded from the synthesis from a hard -1 constraint. Shows which grains were hard included in the synthesis from a hard 1 constraint.

 

 

 

 

Natural-Grain Synthesis

 

 

Segmented Original Sound

Shows the segmentation boundaries on original sound

 

New Sound

(top) Shows the old segmented sound along each constraints source segments. (middle) Shows the synthesized sound. (bottom) Shows Constraint targets along with how the origin of the grains in these targets regions.

(top left) Shows the original probabilities for every grain at each instant of the synthesis over time. (top right) Shows how the original propabilities where rescaled according to the weights at that current in the synthesis. (bottom left) Illustrates the difference between the two initial and new probabilities. (bottom right) Shows the target weights for each constraints. The surface represents the final calculated weights for each grain. The final weights assigned to each grain depends on wether it satisfies or not the current constraint targets. A weight of zero means that it-s original probability is left unchanged. Shows the target weights for each constraints. The surface represents the final calculated weights for each grain. The final weights assigned to each grain depends on wether it satisfies or not the current constraint targets. A weight of zero means that it-s original probability is left unchanged. Shows which grains were excluded from the synthesis from a hard -1 constraint. Shows which grains were hard included in the synthesis from a hard 1 constraint.

 

 

 

 

Wavelet Synthesis

 

 

New Sound