{"id":171,"date":"2019-03-27T16:02:59","date_gmt":"2019-03-27T16:02:59","guid":{"rendered":"http:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/?p=171"},"modified":"2019-04-23T14:48:56","modified_gmt":"2019-04-23T14:48:56","slug":"171","status":"publish","type":"post","link":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/2019\/03\/27\/171\/","title":{"rendered":""},"content":{"rendered":"\n

Week 10<\/p>\n\n\n\n

This week I plan to implement a feature across the whole project where information about the unprocessed DSTFT matrix (file name, number of frames, frame size, spectral frame size and hop size) is saved as a text file, and read whenever a spectral effect is opened.<\/p>\n\n\n\n

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‘text_file_read’ abstraction<\/figcaption><\/figure>\n\n\n\n

The beginning of this week has been focused on refining the playback abstractions. I have integrated Tadej Droljc\u2019s poking \u2018holes\u2019 with ‘jit.nosie’ abstraction into my ‘frame_interpolation_playback’ abstraction. I have also drawn inspiration from Jean Francois Charles\u2019 description<\/a> of transient-based playback speed alteration in his article and designed my own transient playback abstraction. I decided not to investigate Francois-Charles freeze frame playback abstractions as it would not highlight the audio processing techniques in my project. Over the last few days I have experienced some issues in playback speed management given user-specified stationary and transient rate. I fixed this by using ‘send~’ and ‘receive~’ objects to send the updated frame number sync into the ‘jit.peek~’ reading the 1d_transients matrix inside the ‘transient_playback’ abstraction.
<\/p>\n\n\n\n

I have implemented the blur_water global transformation, inspired by Tadej Droljc\u2019s abstraction \u2018Blur Water Effect\u2019. I have created the ‘line_alphablend’ abstraction from ‘circlepoint_&_line_alphablend\u2019 to just display the line, as a circle click point in this context is useless because the information in the ‘jit.window’ is distorted so much by the blur water effect.<\/p>\n\n\n\n

I have also decided that with the spectral_smear abstraction, I would not give the user the option to align the playback head with the smeared region, as the difference between normal data and smeared data would not be highlighted.<\/p>\n\n\n\n

In building the ‘time_scrambler’ abstraction, I added 256 y-axes into the scrambled matrix that would reposition the matrix \u2018noise_fractal_unprocessed\u2019, rather than 128 (which Tadej Droljc did), as I wanted greater accuracy when the frequency bins would be upscaled when passed into the ‘jit.repos’ object. I knew this would come at the cost of computer memory, but since making the decision to compartmentalise the project in such a modular fashion CPU power has been less of an issue.<\/p>\n\n\n\n

However, I have since realised this won\u2019t work, as 257 is longer than Max\u2019s max list length (256), meaning that a completed list of 257 was not being passed in completion to the right hand-side ‘jit.fill’ in time_scramble_process \u2013 I have resorted to 129.<\/p>\n\n\n\n

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The randomly scrambled matrix which repositions the unprocessed DSTFT matrix ‘noise_fractal_unprocessed’ in ‘time_scrambler_process’<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"

Week 10 This week I plan to implement a feature across the whole project where information about the unprocessed DSTFT matrix (file name, number of frames, frame size, spectral frame size and hop size) is saved as a text file, and read whenever a spectral effect is opened. The beginning of this week has been […]<\/p>\n","protected":false},"author":225,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/posts\/171"}],"collection":[{"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/users\/225"}],"replies":[{"embeddable":true,"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/comments?post=171"}],"version-history":[{"count":33,"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/posts\/171\/revisions"}],"predecessor-version":[{"id":390,"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/posts\/171\/revisions\/390"}],"wp:attachment":[{"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/media?parent=171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/categories?post=171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/digital.eca.ed.ac.uk\/spectral-manipulation\/wp-json\/wp\/v2\/tags?post=171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}