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@@ -16,4 +16,4 @@ I have created a dataset containing 50 short Punjabi sentences, totaling about 3
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  One issue I encountered during data preparation was background noise caused by slight environmental sounds during recording. I addressed this by recording in a quieter room and applying noise reduction using Audacity before segmenting the audio files. This process helped improve the clarity and overall quality of the speech data.
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- Another issue occurred after I segmented a single long recording into multiple sentence-level audio clips. The automatically generated files did not follow the required naming convention for automatic processing. To resolve this, I manually renamed each of the fifty audio clips in a sequential and standardized format. This ensured that all audio filenames matched exactly with the corresponding entries in the metadata file and maintained proper alignment between the audio data and the transcriptions.
 
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  One issue I encountered during data preparation was background noise caused by slight environmental sounds during recording. I addressed this by recording in a quieter room and applying noise reduction using Audacity before segmenting the audio files. This process helped improve the clarity and overall quality of the speech data.
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+ Another issue occurred after I segmented a single long recording into multiple sentence-level audio clips. The automatically generated files did not follow the required names for automatic processing. To resolve this, I had to manually rename each of the fifty audio clips in a sequential and standardized format. This ensured that all audio filenames matched exactly with the corresponding entries in the metadata file and maintained proper alignment between the audio data and the transcriptions.