Amazon Transcribe Live Call Analytics (LCA) Sample Solution
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Updated
May 28, 2024 - JavaScript
Amazon Transcribe Live Call Analytics (LCA) Sample Solution
Audio (.mp3) -> AI Generated Images (work in progress)
Exemplos para utilização de plataforma de Machine Learning no modelo SaaS como alternativa para aceleração de funcionalidades baseadas em AI em produtos digitais.
A FastAPI based chatbot server using OpenAI to respond to textual and audio queries.
An AI web application designed to transcribe videos with near-human accuracy, offering the option to add captions or voice-overs in numerous languages.
Final year B.E Project
speech to text benchmark framework
A voice chat bot in React
Awesome Captions is a tool that allows users to upload a video, transcribe it, edit the timeframe and words, and add captions with desired colors.
An example application using Media Streams and Amazon Transcribe
A simple UI for Amazon Transcribe
AWS Transcribe evaluation pipeline: bulk-process audio files and view the results
As of August 30, 2023, this AWS Solution is no longer available. Existing deployments will continue to run. The functionality provided by Content Analysis on AWS will be superseded with functionality in Media2Cloud on AWS and Content Localization on AWS. We encourage you to explore these solutions.
A Java project which parses the JSON file content from AWS Transcribe into a readable transcript.
An editor for speech-to-text transcripts such as AWS Transcribe and Mozilla DeepSpeech
Visualized a text data collected from a debate video on the topic "Gun Violence in the USA" using D3.js, AWS transcribe, Python and HTML/CSS. Created three visualization, Phrase nets, Word clouds and performed sentiment analysis based on the words used by the speaker.
We will create a Lambda function that will trigger whenever an object is placed into an S3 bucket. Specifically, we will trigger a job with Amazon Transcribe speech from an audio file placed into S3.
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