Datasets:

ANANDHU-SCT

/

Speech-to-text

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audiofile29.wav

this is the last sentence in this dataset so thank you

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audiofile25.wav

we are using shared memory for matrix multiplication

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audiofile13.wav

so i asked my friends also to record voice and send it to me

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audiofile1.wav

good morning everyone

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audiofile5.wav

train data is used to train the deep learning model

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audiofile17.wav

in shared memory consider there are lot of threads in a thread block

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audiofile6.wav

the validation dataset is used to fine tune the trained model and reduce error

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audiofile14.wav

since it is not their sole duty im also indulging in dataset creation

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audiofile12.wav

model was working fine for the sample dataset but my accent was not recognising

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audiofile23.wav

after that it will do commutation on shared memory

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audiofile2.wav

it is always nice to meet you in a fresh mood

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audiofile3.wav

this is the custom dataset which is used to train the wave2vec model

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audiofile26.wav

there are two shared arrays since we are using two memory locations

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audiofile4.wav

this consist of test train and validation data included

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audiofile22.wav

it is necessory to preload a small block from input array

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audiofile27.wav

one of our bro is installing the python libraries for doing the program along with the workshop

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audiofile19.wav

we can tell gpu how much memory we can use as cache

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audiofile30.wav

so this are the sentences that would turn the model into a better one

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audiofile21.wav

memory is allocated once during the duration of the kernal

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audiofile8.wav

these are recorded personally by me

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audiofile11.wav

the model from facebok was identified after a lot of research and preperation

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audiofile15.wav

we are having a session based on cuda programming

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audiofile20.wav

we are passing two arguments shape and time

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audiofile7.wav

the test data is used to test the accuracy

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