ANANDHU-SCT
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5ca0c0a
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Parent(s):
d74507a
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test.csv
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Filename,Text,array
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audiofile28.wav,we should be trading off space for memory as space is abundant in systems today,"[-0.00205279 -0.00205279 -0.00205279 ... -0.00233224 -0.00233224
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-0.00205279]"
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audiofile16.wav,our stomach is empty so we are planning to go and eat chicken biriyani after the class,"[-0.00052099 -0.00052099 -0.00052099 ... -0.00052099 -0.00089655
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-0.00089655]"
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audiofile24.wav,after computation we need synchronisation to check all the memory are released by threads,"[-0.00129466 -0.00129466 -0.00129466 ... -0.00129466 -0.00129466
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-0.00159271]"
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audiofile18.wav,all threads in a threadblock share the shared memory,"[-0.00126398 -0.00126398 -0.00126398 ... -0.00126398 -0.00154118
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-0.00126398]"
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audiofile9.wav,it is recorded in maximum noise free environment,"[-0.00091705 -0.00091705 -0.00091705 ... -0.00091705 -0.00091705
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-0.00091705]"
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audiofile10.wav,this then is filtered with noise reduce module from python,[0.00012549 0.00012549 0.00012549 ... 0.00012549 0.00012549 0.00012549]
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train.csv
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Filename,Text,array
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audiofile29.wav,this is the last sentence in this dataset so thank you,"[-0.00154497 -0.00154497 -0.00154497 ... -0.00154497 -0.00154497
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-0.00154497]"
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audiofile25.wav,we are using shared memory for matrix multiplication,[-0.0013941 -0.0013941 -0.0013941 ... -0.0013941 -0.0013941 -0.0013941]
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audiofile13.wav,so i asked my friends also to record voice and send it to me,"[-0.00135984 -0.00135984 -0.00135984 ... -0.00135984 -0.00135984
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-0.00135984]"
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audiofile1.wav,good morning everyone,"[-9.7171287e-05 -9.7171287e-05 -9.7171287e-05 ... -9.7171287e-05
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3.4426435e-04 7.8569993e-04]"
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audiofile5.wav,train data is used to train the deep learning model,"[-0.00258282 -0.00258282 -0.00258282 ... -0.00278775 -0.00258282
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-0.00278775]"
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audiofile17.wav,in shared memory consider there are lot of threads in a thread block,[-0.0011769 -0.0011769 -0.0011769 ... -0.0011769 -0.0011769 -0.0011769]
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audiofile6.wav,the validation dataset is used to fine tune the trained model and reduce error,[-0.0019547 -0.0019547 -0.0019547 ... -0.0019547 -0.0019547 -0.0019547]
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audiofile14.wav,since it is not their sole duty im also indulging in dataset creation,"[6.8441186e-05 6.8441186e-05 6.8441186e-05 ... 6.8441186e-05 6.8441186e-05
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6.8441186e-05]"
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audiofile12.wav,model was working fine for the sample dataset but my accent was not recognising,"[-0.00075871 -0.00075871 -0.00075871 ... -0.00075871 -0.00075871
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-0.00075871]"
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audiofile23.wav,after that it will do commutation on shared memory,"[-0.00209466 -0.00209466 -0.00209466 ... -0.00235505 -0.00235505
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-0.00209466]"
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audiofile2.wav,it is always nice to meet you in a fresh mood,"[ 2.5861387e-05 2.5861387e-05 2.5861387e-05 ... 2.6418168e-02
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1.2057647e-02 -8.1247035e-03]"
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audiofile3.wav,this is the custom dataset which is used to train the wave2vec model,"[-0.00024371 -0.00024371 -0.00024371 ... -0.02418295 -0.02207067
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-0.00024371]"
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audiofile26.wav,there are two shared arrays since we are using two memory locations,"[-0.00214535 -0.00214535 -0.00214535 ... -0.00240758 -0.00214535
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-0.00240758]"
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audiofile4.wav,this consist of test train and validation data included,"[-0.00096769 -0.00096769 -0.00096769 ... -0.00096769 -0.00096769
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-0.00096769]"
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audiofile22.wav,it is necessory to preload a small block from input array,"[-0.00164573 -0.00164573 -0.00164573 ... -0.00191057 -0.00191057
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-0.00164573]"
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audiofile27.wav,one of our bro is installing the python libraries for doing the program along with the workshop,"[-0.00197866 -0.00197866 -0.00197866 ... -0.00197866 -0.00197866
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-0.00197866]"
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audiofile19.wav,we can tell gpu how much memory we can use as cache,"[-0.00142616 -0.00142616 -0.00142616 ... -0.00142616 -0.00142616
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-0.00142616]"
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audiofile30.wav,so this are the sentences that would turn the model into a better one,"[-0.00090364 -0.00090364 -0.00090364 ... -0.00120979 -0.00120979
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-0.00120979]"
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audiofile21.wav,memory is allocated once during the duration of the kernal,"[-0.00097256 -0.00097256 -0.00097256 ... -0.00097256 -0.00128039
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-0.00128039]"
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audiofile8.wav,these are recorded personally by me,"[-0.00147271 -0.00147271 -0.00147271 ... -0.00147271 -0.00147271
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-0.00147271]"
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audiofile11.wav,the model from facebok was identified after a lot of research and preperation,"[-0.00012905 -0.00012905 -0.00012905 ... -0.00012905 -0.000616
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-0.000616 ]"
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audiofile15.wav,we are having a session based on cuda programming,"[-0.00074556 -0.00074556 -0.00074556 ... -0.00074556 -0.00074556
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-0.00074556]"
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audiofile20.wav,we are passing two arguments shape and time,"[-0.00225772 -0.00225772 -0.00225772 ... -0.00225772 -0.00225772
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-0.00225772]"
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audiofile7.wav,the test data is used to test the accuracy,"[-0.00150242 -0.00150242 -0.00150242 ... -0.00150242 -0.00150242
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-0.00150242]"
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