mingyuay@andrew.cmu.edu – 18-090 https://courses.ideate.cmu.edu/18-090/f2016 Twisted Signals Thu, 22 Dec 2016 20:26:10 +0000 en-US hourly 1 https://wordpress.org/?v=4.6.28 https://i2.wp.com/courses.ideate.cmu.edu/18-090/f2016/wp-content/uploads/2016/08/cropped-Screen-Shot-2016-03-29-at-3.48.29-PM-1.png?fit=32%2C32&ssl=1 mingyuay@andrew.cmu.edu – 18-090 https://courses.ideate.cmu.edu/18-090/f2016 32 32 Project2-Mingyuan Yu https://courses.ideate.cmu.edu/18-090/f2016/2016/12/05/project2-mingyuan-yu/ Tue, 06 Dec 2016 04:57:06 +0000 https://courses.ideate.cmu.edu/18-090/f2016/?p=537 In the movie Hobbits, there is a scene about the hero face a dragon. In my point of view, the dragon’s voice wasn’t sounds nicely because it did not have much reverb on its voice, which does not make sense because the scene happen in a city in a huge close environment and it should have lots of reverb. Also, I want to add some spatial effect on its voice, so the sound and video can be more interactive. In this project, I extract the voice track from movie Hobbits, split it into two parts – main voice and others. Then I use leap motion controller to control the sound image position for the dragon voice. Finally, I add a reverb to the dragon’s voice.

 

 

 

 

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Project1_Mingyuan Yu https://courses.ideate.cmu.edu/18-090/f2016/2016/11/06/project1_mingyuan-yu/ Sun, 06 Nov 2016 17:48:32 +0000 https://courses.ideate.cmu.edu/18-090/f2016/?p=446 You can image this project act as a cell phone noise cancellation. It has two inputs which simulate two microphone inputs in a cell phone, one Mic pick up voice + environmental noise and the other Mic pick up pure environment noise. This app combines both amplitude cancelation as well as phase cancelation. It also provided a gate therefore the pure environment noise signal won’t be heard by the user. The following video demonstrated shows this app can separate noise and wanting signal pretty good in both musical environments, speech environment, street noise environment and pure white noise, as long as some condition fited. However, if those conditions don’t meet (ex: not playing simultaneously, phase no match), the app won’t perform very good noise cancellation.

 

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Assignment 4_noiseCanceling_Ming https://courses.ideate.cmu.edu/18-090/f2016/2016/10/16/assignment-4_noisecanceling_ming/ Sun, 16 Oct 2016 21:10:47 +0000 https://courses.ideate.cmu.edu/18-090/f2016/?p=395 In this assignment, I create a noise canceling tool. I first import a background noise environment sound track, then import a voice-noise-mixing sound tract. By playing with pfft~ I can use either amplitude or phase attribute to cancel the noise from the voice-noise-mixing sound tract and leave me only the voice. You can hear the difference between the two methods.

In the youtube demo video, I first playing 2 original sound tract (noise background and voice-noise-mixing sound), then using amp noise cancelation, follwing with phase cancelation.

PS: the youtube video shift my sound about 1 second for some reason.

 

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Convolve_HW3_Ming https://courses.ideate.cmu.edu/18-090/f2016/2016/10/03/convolve_hw4_ming/ Mon, 03 Oct 2016 04:53:29 +0000 https://courses.ideate.cmu.edu/18-090/f2016/?p=326 Sound source: SUZANNE VEGA ‘Tom’s Diner’

IR source: First two are ballon IR—— one from Doherty Hall and the other one from Bathroom.

Rest IRs are made by White noise in an anecoiec chamber at Columbia College Chicago, and I use Kemar human head microphone to record them. These sound track are record horizontally, from 0°-360° with 30° interval (0°, 30°, 60°, 90°…etc.) and two different distance (<1 meter and 6 meter away from Kemar).

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Assignment2 D..Da F…fung DaFung DaFung! https://courses.ideate.cmu.edu/18-090/f2016/2016/09/19/assignment2-d-da-f-fung-dafung-dafung/ Mon, 19 Sep 2016 12:45:28 +0000 https://courses.ideate.cmu.edu/18-090/f2016/?p=276 A second version of music track Dafunk.

I used two note element make some new track, and you can change the speed of the music see how weird it can be.

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Assignment1 feedback loop https://courses.ideate.cmu.edu/18-090/f2016/2016/09/07/assignment1-feedback-loop/ Wed, 07 Sep 2016 15:39:43 +0000 https://courses.ideate.cmu.edu/18-090/f2016/?p=195 18-290

This is a feedback loop for a speech signal which has approximately 1 min long. I used Cool Edit audio editing software and Matlab recorder to record and play back and forth.

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