aws-transcribe

speech to text benchmark framework

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

This project is a fully automated video search engine which uses AWS AI services for computer vision and speech recognition to catalog video archives.

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.

Amazon Transcribe Live Call Analytics (LCA) Sample Solution

An example application using Media Streams and Amazon Transcribe

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

Example python scripts to evaluate various ASR methods

PotPlayer 字幕在线翻译插件- 基于aws transcribe翻译的potplayer实时字幕

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

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.

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

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

Sample serverless application for speech to speech translations

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

Client for AWS Transcribe

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

Generate translations for transcripts your videos into many languages automatically, using the power of AWS Cloud Computing technologies (Amazon Web Services) you can enjoy in your favorite language and with the control of each time section the content of the video . A perfect way to avoid missing relevant data from your multimedia content.