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solomonkimunyu/Intro-to-ASR-Africa-Challenge-Zindi-7th-place-solution

Domaine:

natural language processing

Type de record:

project
Créateur:
sol
Hôte:
There are 6683 audio files in the train set and 1590 in the test set. I used these files to train my ASR model. Files available are: clips.zip - contains all the audio files Train.csv - contains the audio IDs and the transcription. This is the dataset that I used to train my model. Test.csv - contains the audio IDs and some information about the audio file. It does not include the transcription. I used the model I trained on Train.csv to make predictions for the test files. Variable Definitions ID: the path to get the audio which is just the name of the audio file without the “.mp3” (i.e the id discussed above) transcription: the transcription of the audio corresponding to the current observation (Available only in the training file) up_votes: Number of users that accepted the recorded audio as being valid for the corresponding text down_votes: Number of users that declined the recorded audio as being valid for the corresponding text age: The Age of the user who did the recording gender: The Gender of the recorder

Visit

github.com

Tasks

automatic speech recognitionspeech processing

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