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Dataset_voice_to_text.csv

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+Number,Filename,Text
+1,audiofile1.wav,good morning everyone
+2,audiofile2.wav,it is always nice to meet you in a fresh mood
+3,audiofile3.wav,this is the custom dataset which is used to train the wave2vec model
+4,audiofile4.wav,this consist of test train and validation data included
+5,audiofile5.wav,train data is used to train the deep learning model
+6,audiofile6.wav,the validation dataset is used to fine tune the trained model and reduce error
+7,audiofile7.wav,the test data is used to test the accuracy
+8,audiofile8.wav,these are recorded personally by me
+9,audiofile9.wav,it is recorded in maximum noise free environment
+10,audiofile10.wav,this then is filtered with noise reduce module from python
+11,audiofile11.wav,the model from facebok was identified after a lot of research and preperation
+12,audiofile12.wav,model was working fine for the sample dataset but my accent was not recognising
+13,audiofile13.wav,so i asked my friends also to record voice and send it to me
+14,audiofile14.wav,since it is not their sole duty im also indulging in dataset creation
+15,audiofile15.wav,we are having a session based on cuda programming
+16,audiofile16.wav,our stomach is empty so we are planning to go and eat chicken biriyani after the class
+17,audiofile17.wav,in shared memory consider there are lot of threads in a thread block
+18,audiofile18.wav,all threads in a threadblock share the shared memory
+19,audiofile19.wav,we can tell gpu how much memory we can use as cache
+20,audiofile20.wav,we are passing two arguments shape and time
+21,audiofile21.wav,memory is allocated once during the duration of the kernal
+22,audiofile22.wav,it is necessory to preload a small block from input array
+23,audiofile23.wav,after that it will do commutation on shared memory
+24,audiofile24.wav,after computation we need synchronisation to check all the memory are released by threads
+25,audiofile25.wav,we are using shared memory for matrix multiplication
+26,audiofile26.wav,there are two shared arrays since we are using two memory locations
+27,audiofile27.wav,one of our bro is installing the python libraries for doing the program along with the workshop
+28,audiofile28.wav,we should be trading off space for memory as space is abundant in systems today
+29,audiofile29.wav,this is the last sentence in this dataset so thank you
+30,audiofile30.wav,so this are the sentences that would turn the model into a better one