Using Custom Language Models (CLM) to supercharge transcription accuracy | Amazon Web Services
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Опубликовано 4 января 2022, 21:14
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Unlike the Custom Vocabulary feature, which enhances speech recognition for a discrete list of out-of-lexicon terms, CLM allows you to leverage pre-existing data to build a custom speech engine tailored for your transcription use case. Amazon Transcribe customers who operate in domains as diverse as law, finance, hospitality, insurance, and media all stand to benefit.
Learn more about:
Amazon Transcribe - go.aws/3pRKYj8
Transcribe Class Lectures - go.aws/32HBhuY
Custom Language Models - go.aws/3ePNmQX
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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #AmazonTranscribe #MachineLearning #AWSDemo
Learn more about:
Amazon Transcribe - go.aws/3pRKYj8
Transcribe Class Lectures - go.aws/32HBhuY
Custom Language Models - go.aws/3ePNmQX
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #AmazonTranscribe #MachineLearning #AWSDemo
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