[{"data":1,"prerenderedAt":52},["ShallowReactive",2],{"workflow-speech-recognition-counter":3},{"id":4,"title":5,"cleanup":6,"contributors":10,"deploy":12,"description":15,"diagram":16,"extension":17,"framework":18,"gitHub":19,"introBox":27,"level":31,"meta":32,"resources":33,"s3URL":39,"services":40,"simplicity":43,"stem":44,"testing":45,"type":49,"usecase":50,"videoId":24,"__hash__":51},"workflows\u002Fworkflows\u002Fspeech-recognition-counter.json","Speech recognition counter",{"headline":7,"text":8},"Cleanup",[9],"1. Delete the stack: \u003Ccode>sam delete\u003C\u002Fcode>.",[11],"content\u002Fcontributors\u002Fjustin-callison.json",{"text":13},[14],"sam deploy --guided","Report on the use of the common phrase “you know” in media files. These services can automate and reduce the time required to find the use of filler phrases.","\u002Fassets\u002Fimages\u002Fworkflows\u002Fspeech-recognition-counter.png","json","AWS SAM",{"template":20,"payloads":25},{"repoURL":21,"templateDir":22,"templateFile":23,"ASL":24},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Faws-stepfunctions-examples\u002Ftree\u002Fmain\u002Fsam\u002Fapp-low-code-you-know-counter\u002F","app-low-code-you-know-counter","template.yaml","",[26],{"headline":24,"payloadURL":24},{"headline":28,"text":29},"How it works",[30],"Step Functions can automate and chain together multiple activities and other Amazon services. Amazon Transcribe is a speech to text service that uses media files as input and produces textual transcripts from them. Athena is an interactive query service that makes it easier to analyze data in Amazon S3 using standard SQL. Athena enables the use of standard SQL to query data in S3.","100",{},{"headline":34,"bullets":35},"Additional resources",[36],{"text":37,"link":38},"Building a low-code speech “you know” counter using AWS Step Functions","https:\u002F\u002Faws.amazon.com\u002Fblogs\u002Fcompute\u002Fbuilding-a-low-code-speech-you-know-counter-using-aws-step-functions\u002F","https:\u002F\u002Fda-public-assets.s3.amazonaws.com\u002Fworkflows\u002Fspeech-recognition-counter\u002Fcloudformation.yml",[41,42],"transcribe","athena","3 - Application","workflows\u002Fspeech-recognition-counter",{"headline":46,"text":47},"Testing",[48],"See the GitHub repo for detailed testing instructions.","Standard","Machine Learning","pUuW6dyJl7rDnEGPquJFeJjBY1XA2adw6T4l3oBsISA",1778927713039]