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Labeled sound recordings of sounds like air conditioners, car horns and children playing. Sorted into folders by class of events as well as metadata in a JSON file and annotations in a CSV file. 1,059 Sound Classification 2014 [146] [147] J. Salamon et al. AudioSet 10-second sound snippets from YouTube videos, and an ontology of over 500 labels.
MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
But there were some differences in subjective evaluation: 48% of students preferred live lessons, 27% preferred video lessons and 25% stated ‘neutral’. Another meta-study [6] investigated more than 100 studies and find out that about 75% of the time, students learned better from the video. On average, the effects are small (about +2 marks ...
In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC. [1]
In an anatomy course incorporating YouTube, 98% of students watched the assigned videos and 92% stated that they were helpful in teaching anatomical concepts. [12] A 2013 study focused on clinical skills education from YouTube found that the 100 most accessible videos across a variety of topics ( venipuncture , wound care, pain assessment, CPR ...
There is a wide variety of input hardware available to accept user input for virtual simulations. The following list briefly describes several of them: Body tracking: The motion capture method is often used to record the user's movements and translate the captured data into inputs for the virtual simulation. For example, if a user physically ...
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A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]