Amazon Transcribe Custom Language Models now support Australian English, British English, Hindi and US Spanish
We are excited to announce that Amazon Transcribe Custom Language Models (CLM) now support Australian English, British English, Hindi and US Spanish. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. CLM allows you to use pre-existing data to build a custom speech engine for your specific batch transcription use cases. No prior machine learning experience is required to create your CLM.
We are excited to announce that Amazon Transcribe Custom Language Models (CLM) now support Australian English, British English, Hindi and US Spanish. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. CLM allows you to use pre-existing data to build a custom speech engine for your specific batch transcription use cases. No prior machine learning experience is required to create your CLM.
CLM uses text data that you already possess, such as website content, instruction manuals, and other assets that cover your domain’s unique lexicon and vocabulary. Just upload your training data set to start creating your own CLM. Next, simply run transcription jobs using your new CLM. Amazon Transcribe CLM applies to customers who operate in domains as diverse as law, finance, hospitality, insurance, and media.
CLM now supports Australian English, British English, Hindi, US English and US Spanish for batch transcriptions and is available in all AWS Regions where Amazon Transcribe operates. To start building your own custom speech recognition model, log in to the Amazon Transcribe service console. For more details about the CLM feature, visit the “Building custom language models to supercharge speech-to-text performance for Amazon Transcribe” post and the Amazon Transcribe documentation page.