![]() conversion of audio file (for example podcast) to text.generation of subtitles on audio and video content.transcription of customer service calls. ![]() You will be able to convert to text your recordings, extract semantic details from the text, perform fast search/aggregations on the data, visualize and report the data. This architecture is useful when you want to get useful insights from a set or audio/voice recording. ![]() The components that we are going to use are the following: Which entities/key phrases are the most common in my recordings?.Which is the sentiment about my product?.How many customers are complaining (negative feedback) about my products?.How many positive recordings do I have?.We are going to analyze some customer recordings (complaints, product feedbacks, customer support) to extract useful information and answer the following questions: In Part II, you can learn how to implement this architecture. In Part I, you can learn about the key components, architecture, and common use cases. In this two-part blog post, we are going to present a system architecture to convert audio and voice into written text with AWS Transcribe, extract useful information for quick understanding of content with AWS Comprehend, index this information in Elasticsearch 6.2 for fast search and visualize the data with Kibana 6.2. With Amazon’s introduction of AWS Transcribe, that has changed. The best solutions were either not accurate enough, too expensive to scale or didn’t play well with legacy analysis tools. ![]() Speech to text is the process of converting speech input into digital text, based on speech recognition. Until recently, transcribing audio files to text has been time-consuming or inaccurate. They have a gold mine of potential information from product feedback, customer service recordings and more, but it’s seemingly locked in a black box. Many businesses struggle to gain actionable insights from customer recordings because they are locked in voice and audio files that can’t be analyzed. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |