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now lets look at a voice recognition example we provide a comprehensive suite of tools and models to enable the information extraction from audio data including appens ml powered audio annotation tool to speed up the labeling process with manual labeling there is a two-step process starting first with audio annotation where speech segments get identified and classified then the segmented audio gets loaded into the audio transcription tool where they get transcribed so what would like to talk today i think were going to talk about i think were going to talk about weddings okay so so what would like to talk today as you can see the end-to-end manual annotation process is labor-intensive and time-consuming now lets take a look at appens ml powered audio annotation tool this uses a diarization model to automate the audio segmentation step then uses an automated speech recognition model to generate transcription hypothesis finally we add a human review job to correct any possible mis