485 research outputs found

    UR-48 Using Semantic Segmentation in a Convoluted Neural Network for Vocal Localization in Music

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    I. PROJECT OVERVIEW A. Research Question In this project, the question was asked: ”Is there an easier way to extract vocals from music?” Many other works are able to extract vocals with Deep Neural Networks using Multitask Learning, which are large and take a long time to train. To rival this, we wish to present a method to identify vocals with a Convolutional U-Network (U-Net) for Semantic Segmentation of audio files. B. Project Description This project differs from other works by identifying vocal locations by converting audio files in Short Time Fourier Transforms(STFT), and treating them as images in the UNet. By treating these as images, the U-Net is able to identify the location of ”vocal features” the same way a U-Net would identify desired features within an image. The object detection is what sets this project apart from similar works. Many of these other works treat each song as an audio signal with real and imaginary components which means these algorithms treat the issue as a signal processing problem. However, by looking at the STFT of the song as a graph, we are instead able to approach this as an image processing problem instead, which offers more tools within the realm of Deep Learning–such as Semantic Segmentation. II. EXPERIMENTATION A. Materials and Methods All Materials used were a form of software. Firstly, the UNetwork was created and ran in python on the CCSE Cluster for High Efficiency. A U-Network is a Convoluted Neural Network that has the ability to output images by Convoluting the original image to allow only the prominent features to be shown and Deconvoluting the Output to display these features in the original image resolution to be used for further processing. This gives the U-net it’s ”u” shape when drawn out. Secondly, the data created for the project were music files converted into Short Time Fourier Transforms(STFT) and processed as image files, where the input into the U-Network was an entire song’s STFT and the labeled data was the vocal audio file STFT for that same song. A Short-Time Fourier Transform can be considered the heatmap of the amplitudes of the song across frequency and time. B. Results The initial Results from the U-Network show a high level of accuracy for vocal location predictions. As the output from a U-Network is an image, these images are the initial song’s STFT with a mask applied to show the location of Vocal Waves. These trials have an accuracy greater than 80% which is a very good result this early in the processing. The vocals have been identified and located in this study, however the next step is to pull the vocals out and convert them back into a song wave. III. MARKETABILITY For the last 20 or so years, large record labels have been attempting to ”Remaster” old music, which is the process of digitizing old analog tracks of songs, mixing them on a new sound board, and releasing the remastered work at a marked up price. As recording methods, pre-computers, relied on tape, often times tracks were record over each other to save space on the real. When the song has this issue, a computer program has to pull out all of the pieces of the song so that the engineer can remaster it. This project shows the initial steps to a simpler audio extraction, where handling this issue as an image processing problem instead of a signal processing problem, we are able to create a more efficient Neural Network.Advisors(s): Dr. AledhariTopic(s): Artificial IntelligenceCS 426

    Phytoplankton composition in the coastal Magnetic Island lagoon, Western Pacific Ocean (Australia)

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    1 - Coastal lagoons have traditionally been considered as transitional systems between continental and marine domains. The phytoplankton plays a key role in these aquatic environments, forming the base of the food web and having a substantial function in nutrient dynamics and in the carbon biogeochemical cycle.2 - Due to their short life cycle, planktonic algae respond quickly to environmental changes and they are thus a valuable indicator of water quality. It is essential to investigate the development of phytoplankton populations to understand the biological functioning and to detect changes in aquatic systems.3 - Phytoplankton studies in the Australian estuaries and lagoons are relatively scarce. This study has provided a broad perspective and preliminary information on taxonomic structure of phytoplankton guilds for the Magnetic Island Lagoon (Queensland, Australia). This work may provide valuable information of interest to later ecological studies.4 - In the whole sampling a total of 143 taxa were identified. In terms of species richness, diatoms (Bacillariophyceae, Coscinodiscophyceae, Fragilariophyceae) and dinoflagellates (Dinophyceae) were the most important groups. In taxonomic terms, diatoms were the major contributor to the phytoplankton composition (~ 70%) whereas Dinophyceae were moderately abundant (~23%). Diatoms are a very important component in estuarine and shallow coastal wetlands and they are increasingly being utilized as indicators of environmental change

    Investigating staff’s attitudes and willingness to support men and women with mild intellectual disabilities on matters relating to their sexuality

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    Background: This study explored residential support staff’s attitudes towards sexuality in men and women with an intellectual disability (ID), and whether their attitudes were linked to a willingness to support service users with sexual matters. Method: The Attitudes to Sexuality Questionnaire - Individuals with an Intellectual Disability was used to gather data on 34 support staff’s attitudes. This was supplemented with additional questions on risk issues developed by the author. A semi-structured interview examined staff’s experiences of supporting sexual matters. Result: Liberal attitudes were held, no statistically significant differences were found on attitudes to men and women. Nonetheless, trends were found with more liberal views expressed about men than women on sexual rights and non-reproductive sexual behaviour. Most staff were willing to support the sexuality of service users. A positive association was found between staff’s attitudes and their willingness to support sexuality. Willingness was not associated with feelings of confidence or comfort in dealing with sexual matters. Conclusions: Sexuality is an integral aspect of quality of life. Understanding staff’s values and attitudes towards the sexuality of people with ID is important, as this population of people rely on staff for support on this sensitive topic. Assisting the sexuality of people with ID is a complex and emotive subject worthy of further investigation.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    gas phase vibrational spectroscopy of V3O6-8+

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    We present gas phase vibrational spectra of the trinuclear vanadium oxide cations V3O6+·He1–4, V3O7+·Ar0,1, and V3O8+·Ar0,2 between 350 and 1200 cm−1. Cluster structures are assigned based on a comparison of the experimental and simulated IR spectra. The latter are derived from B3LYP/TZVP calculations on energetically low-lying isomers identified in a rigorous search of the respective configurational space, using higher level calculations when necessary. V3O7+ has a cage-like structure of C3v symmetry. Removal or addition of an O-atom results in a substantial increase in the number of energetically low-lying structural isomers. V3O8+ also exhibits the cage motif, but with an O2 unit replacing one of the vanadyl oxygen atoms. A chain isomer is found to be most stable for V3O6+. The binding of the rare gas atoms to V3O6–8+ clusters is found to be strong, up to 55 kJ/mol for Ar, and markedly isomer-dependent, resulting in two interesting effects. First, for V3O7+·Ar and V3O8+·Ar an energetic reordering of the isomers compared to the bare ion is observed, making the ring motif the most stable one. Second, different isomers bind different number of rare gas atoms. We demonstrate how both effects can be exploited to isolate and assign the contributions from multiple isomers to the vibrational spectrum. The present results exemplify the structural variability of vanadium oxide clusters, in particular, the sensitivity of their structure on small perturbations in their environment

    Common variants in FOXP1 are associated with generalized vitiligo

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    In a recent genome-wide association study of generalized vitiligo, we identified ten confirmed susceptibility loci. By testing additional loci that showed suggestive association in the genome-wide study, using two replication cohorts of European descent, we observed replicated association of generalized vitiligo with variants at 3p13 encompassing FOXP1 (rs17008723, combined P = 1.04 × 10−8) and with variants at 6q27 encompassing CCR6 (rs6902119, combined P = 3.94 × 10−7)

    The LBNO long-baseline oscillation sensitivities with two conventional neutrino beams at different baselines

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    The proposed Long Baseline Neutrino Observatory (LBNO) initially consists of ∌20\sim 20 kton liquid double phase TPC complemented by a magnetised iron calorimeter, to be installed at the Pyh\"asalmi mine, at a distance of 2300 km from CERN. The conventional neutrino beam is produced by 400 GeV protons accelerated at the SPS accelerator delivering 700 kW of power. The long baseline provides a unique opportunity to study neutrino flavour oscillations over their 1st and 2nd oscillation maxima exploring the L/EL/E behaviour, and distinguishing effects arising from ÎŽCP\delta_{CP} and matter. In this paper we show how this comprehensive physics case can be further enhanced and complemented if a neutrino beam produced at the Protvino IHEP accelerator complex, at a distance of 1160 km, and with modest power of 450 kW is aimed towards the same far detectors. We show that the coupling of two independent sub-MW conventional neutrino and antineutrino beams at different baselines from CERN and Protvino will allow to measure CP violation in the leptonic sector at a confidence level of at least 3σ3\sigma for 50\% of the true values of ÎŽCP\delta_{CP} with a 20 kton detector. With a far detector of 70 kton, the combination allows a 3σ3\sigma sensitivity for 75\% of the true values of ÎŽCP\delta_{CP} after 10 years of running. Running two independent neutrino beams, each at a power below 1 MW, is more within today's state of the art than the long-term operation of a new single high-energy multi-MW facility, which has several technical challenges and will likely require a learning curve.Comment: 21 pages, 12 figure
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