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What is Amazon transcribe ?

What is Amazon transcribe ?

  • Amazon transcribe is an automatic speech recognition service.
  • Amazon transcribe APIs you can analyze audio files ┬ástored in Amazon S3 and convert your speech to text.
  • You can also send a live audio stream to Amazon transcribe and receive a stream of transcripts in real time.
  • Amazon transcribe can be used for lots of common applications including the transcription of customer services calls and generating subtitles on audio and video content.
  • This service can transcribe audio files stored in common formats like FLAC, WAV, MP4 add MP3

Steps to convert audio to text in AWS Console.

  • Create an audio file hey MP3 or MP4 for transcription.
  • Create a S3 Bucket.
  • Upload file to your audio file to your S3 bucket .
  • Copy path for your audio file.
  • Go to aws transcribe —> transcription jobs.
  • Create a new transcription job.
  • Select your audio file by providing its S3 path.
  • After you create the transcription job it will start automatically.
  • once the job completes you go ahead and review transcription results.
  • You can view the text in the transcription panel.
  • Feel free to download your transcription

About Abhay Singh

7 + years of expertise of Cloud Platform(AWS) with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon ELB, Scaling, CloudFront, CDN, CloudWatch, SNS, SQS, SES and other vital AWS services. Understand Infrastructure requirements, and propose design, and setup of the scalable and cost effective applications. Implement cost control strategies yet keeping at par performance. Configure High Availability Hadoop big data ecosystem, Teradata, HP Vertica, HDP, Cloudera on AWS, IBM cloud & other cloud services. Infrastructure Automation using Terraform, Ansible and Horton Cloud Break setups. 2+ Years of development experience with Big Data Hadoop cluster, Hive, Pig, Talend ETL Platforms, Apache Nifi. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling, and data mining, machine learning, and advanced data processing. Experience at optimizing ETL workflows. Good knowledge of database concepts including High Availability, Fault Tolerance, Scalability, System, and Software Architecture, Security and IT infrastructure.

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