Visualizing Audio Using Stacked Graphs
dc.contributor.author | Golan, Dean | |
dc.date.accessioned | 2023-09-19T21:06:50Z | |
dc.date.available | 2023-09-19T21:06:50Z | |
dc.date.copyright | 2023 | en_US |
dc.date.issued | 2023-09-19 | |
dc.description.abstract | Audio visualization is an important aspect of audio analysis and research. Common audio visualization methods include graphing the amplitude envelope and spectrogram of a given piece of audio. Graphing the amplitude envelope generally gives a good representation of the transience but little to no spectral information, while taking the spectrogram gives a bad representation of transience. In this project we developed code to visualize audio using stacked graphs, an uncommon yet highly intuitive method which gives both a good representation of transience and the spectral information. Methods were also developed for storing audio data such that common time units could be easily used to access and manipulate it. | en_US |
dc.description.reviewstatus | Reviewed | en_US |
dc.description.scholarlevel | Undergraduate | en_US |
dc.description.sponsorship | Valerie Kuehne Undergraduate Research Awards (VKURA) | en_US |
dc.identifier.uri | http://hdl.handle.net/1828/15422 | |
dc.language.iso | en | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Audio | en_US |
dc.subject | Sound | en_US |
dc.subject | Music | en_US |
dc.title | Visualizing Audio Using Stacked Graphs | en_US |
dc.type | Poster | en_US |