![]() This is done by multiplying each probability along the "branches" of the tree. The tree diagram is complete, now let's calculate the overall probabilities. ![]() If you get Alex, there is 0.3 probability of being Goalie (and 0.7 not): Now, if you get Sam, there is 0.5 probability of being Goalie (and 0.5 of not being Goalie): The probability of getting Sam is 0.6, so the probability of Alex must be 0.4 (together the probability is 1) First we show the two possible coaches: Sam or Alex: So, what is the probability you will be a Goalkeeper today? about 6 out of every 10 games (a probability of 0.6). with Coach Alex the probability of being Goalkeeper is 0.3.with Coach Sam the probability of being Goalkeeper is 0.5.You are off to soccer, and love being the Goalkeeper, but that depends who is the Coach today: That was a simple example using independent events (each toss of a coin is independent of the previous toss), but tree diagrams are really wonderful for figuring out dependent events (where an event depends on what happens in the previous event) like this example: The probability of getting at least one Head from two tosses is 0.25+0.25+0.25 = 0.75.All probabilities add to 1.0 (which is always a good check).The probability of "Head, Head" is 0.5×0.5 = 0.25.We multiply probabilities along the branches.How do we calculate the overall probabilities? We can extend the tree diagram to two tosses of a coin: The outcome is written at the end of the branch.The probability of each branch is written on the branch.There are two "branches" (Heads and Tails) Here is a tree diagram for the toss of a coin: Keyword: audio forensic, multimedia forensics, microphone identification, tamper detection, splicing detection, and codec identification Citation to related publication: Muhammad Khurram Khan, Mohammed Zakariah, Hafiz Malik & Kim-Kwang Raymond Choo (2018).Calculating probabilities can be hard, sometimes we add them, sometimes we multiply them, and often it is hard to figure out what to do. Original Mic Trademark and model -> Naming Convenientįor example: SEN_0421_02_01_02_03 is an English file recorded by speaker number 3 in the soundproof room using microphone number 2 of Sennheiser MD-421 (vii) The sixth section of 2 characters indicates the speaker. (vi) The fifth section of 2 characters indicates the language, where (v) The fourth section of 2 characters indicates the environment, where (iv) The third section of 2 characters indicates a specific microphone within a set of microphones of the same trademark and model, since we have more than one microphone of the same trademark and model. (iii) The second section of 4 characters indicates the microphone model as in table (2). (ii) The first section is of 3 characters indicates the Microphone trademark. (i) The file name is 19 characters long, and consists of 5 sections separated by underscores. This set of rules were followed as a naming convention to give each file in the dataset a unique name: (vi) Garden: is an open space outside the buildings. All the walls are made of glasses and the floor is covered by carpet. (ii)Ĝlass room: standard class room (6m × 5m × 3m). With an exception of a small window in the front side of the room which is made of glass, all the walls of the room are made of wood and covered by a layer of sponge from the inner side, and the floor is covered by carpet. (i) Soundproof room: a small room (nearly 1.5m × 1.5m × 2m), which is closed and completely isolated. Table (1) illustrates the number of used Mics of different trademarks and models.Ī brief description of the 6 environments in which the dataset was collected is presented here: ![]() The microphones used to collect this dataset belong to 7 different trademarks. Creator: Malik, Hafiz and Khan, Muhammad Khurran, King Saud University Description: Details of the microphone used for data collection, acoustic environment in which data was collected, and naming convention used are provided here. ![]()
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