The greatest risk that we are currently facing is the low performance of the speech recognition system. As we started writing the speech recognition algorithm, we realized that although the Python SpeechRecognition library usually returns coherent sentences, which helps our NLP system to parse the input, the speed and accuracy of recognition is not very optimistic. We will test how to change certain metrics in the SpeechRecognition library for a more accurate output, and in the worst case, we can switch to other speech recognition algorithms compatible with Python.<\/span><\/p>\n We may be able to use fewer infrared sensors. We conducted testing this week and found that the system was still able to detect relatively short human figures accurately with just one or two sensors.<\/span><\/p>\n To accommodate inflexibilities in our current speech recognition and NLP modules, we decided that checkout can only be triggered by certain keywords (\u201ccheckout,\u201d \u201cfinish,\u201d and \u201cdone\u201d). We will also be taking item orders one by one, so a sample interaction would look like this:<\/span><\/p>\n Kiosk: \u201cWelcome! Please order your first item!\u201d<\/span><\/p>\n Customer: \u201cOne hamburger, please.\u201d<\/span><\/p>\n Kiosk: \u201cYou\u2019ve ordered one hamburger. Is this correct?\u201d<\/span><\/p>\n Customer: \u201cYes.\u201d<\/span><\/p>\n Kiosk: \u201cOne hamburger, confirmed. Please order your next item, or say \u2018finish\u2019 to checkout.\u201d<\/span><\/p>\n Customer: \u201cCheckout.\u201d<\/span><\/p>\n Kiosk: \u201cAre you ready to checkout?\u201d<\/span><\/p>\n Customer: \u201cYes.\u201d<\/span><\/p>\n Kiosk: \u201cCheckout successful! Your total is $XX.XX. Your order number is XX. You will be called when your order is ready. Thank you for using Meal By Words!\u201d<\/span><\/p><\/blockquote>\n There is no schedule change this week. Everyone is on track with our plan.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" Risks The greatest risk that we are currently facing is the low performance of the speech recognition system. As we started writing the speech recognition algorithm, we realized that although the Python SpeechRecognition library usually returns coherent sentences, which helps our NLP system to parse the input, the speed and accuracy of recognition is not … Continue reading “Team Status Report For 3\/18\/2023”<\/span><\/a><\/p>\n","protected":false},"author":687,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10],"tags":[],"_links":{"self":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/posts\/158"}],"collection":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/users\/687"}],"replies":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/comments?post=158"}],"version-history":[{"count":1,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/posts\/158\/revisions"}],"predecessor-version":[{"id":159,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/posts\/158\/revisions\/159"}],"wp:attachment":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/media?parent=158"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/categories?post=158"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s23-teamd3\/wp-json\/wp\/v2\/tags?post=158"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Design Changes<\/b><\/h6>\n
Schedule<\/b><\/h6>\n