speech to text benchmark framework

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 The functionality provided by Content Analysis on AWS will be superseded with functionality in Media2Cloud on AWS and Content Localization on AWS.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.

This is a simple utility script to convert the Amazon Transcribe .json transcript into a more readable transcript.

Amazon Transcribe Live Call Analytics (LCA) Sample Solution

An editor for speech-to-text transcripts such as AWS Transcribe and Mozilla DeepSpeech

A simple UI for Amazon Transcribe

A simple AWS demo utilises Amazon Transcribe to convert audio to text and analyse.

An example application using Media Streams and Amazon Transcribe

AWS Transcribe evaluation pipeline: bulk-process audio files and view the results

Won 2nd prize in HackUIET hackathon and best project in AI theme

Example python scripts to evaluate various ASR methods

AI based health checkup web tool

Apna Doctor is an AI based Health Check-Up Web Application

Using AWS Transcribe service, take the JSON output and output HTML into a nice conversational format for easy posting to a blog.

Project developed for the Cloud Computing 2020.1 class. We built a service to add translated subtitles to videos using AWS services.

Shows how to use the Amazon Transcribe API to transcribe a phone conversation recorded with the Nexmo Voice API.

Implement a photo album web application, that can be searched using natural language through both text and voice. Services on AWS: Lex, ElasticSearch, and Rekognition to create an intelligent search layer to query your photos for people, objects, actions, landmarks and more.

Developing a tool to convert audio calls into structured documents as meeting minutes that can be referred to by the host.

Speech Sentiment Analyser is a ML & AI based tool to help analyse the user sentiment in an audio file

Sample serverless application for speech to speech translations