Kamal Rawat
Full Stack | Front-End | Cloud Enthusiastic | Architect
Kamal Singh Rawat is Full stack / Open Source / Microsoft Technology Enthusiast. I am a Mindcracker MVP . Learning and sharing is my passion. Expertise in designing, implementing microservices. Seasoned engineer in creating front-end apps with frameworks/libraries. (React, Angular, Ember, Webpack,Babel ,ES6)
Audio and Video data analysis using Amazon Transcribe
Audio and Video analysis using Amazon Transcribe.
Amazon Transcribe is a fully managed and continuously trained automatic speech recognition service
that takes in audio and automatically generates accurate transcripts:
There might be different use-cases for using Amazon Transcribe:
1. Analysis of Call-Center calls
2. Search and Filter videos transcript
3. Recorded office meetings
Its hard to memorize and put notes for each clip, rather process the whole audio into text
using Amazon Transcribe, analyze it using with various other tools (Amazon Comprehend) and make your analysis ready.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
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