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Audio Data Labeling & Classifcation

Audio processing converts all types of sounds like speech, into a structured format so it is employed in machine learning. Audio processing often requires you to first manually transcribe it into written language. From there, you'll be able to uncover deeper information about the audio by adding tags and categorizing the audio. This categorized audio becomes your training dataset. Audio or speech recorded in any format is created understandable to machines through Machine Learning. NLP-based speech recognition models require annotated audios to create such sounds more comprehensible to applications like a chatbot or virtual assistant devices