Amazon Transcribe: Speech-to-text mastery with 100 languages & enhanced accuracy on AWS
Breaking language barriers and boosting transcription precision, Amazon Transcribe's latest enhancements mark a pivotal leap in AWS capabilities, promising seamless communication across 100 languages.
technology
Highlights
- Amazon Transcribe breaks barriers with support for 100 languages, ensuring global accessibility
- The latest version boosts accuracy by 20-50 percent, setting a new standard for AWS speech-to-text technology
- Amazon Transcribe's advancements seamlessly enhance AWS Call Analytics, using generative AI for efficient post-call summaries
In a significant stride forward, Amazon Web Services (AWS) has broadened the linguistic horizons of its Amazon Transcribe product, unveiling an extended language repertoire that encompasses 100 languages.
This expansion, announced at the prestigious AWS re: Invent event, reinforces the platform's position as a formidable player in the speech-to-text domain, providing AWS customers with robust capabilities for their applications on the AWS Cloud.
Prioritize patients, not paperwork. 🗂️☁️👩⚕️
— Amazon Web Services (@awscloud) November 27, 2023
AWS HealthScribe uses speech recognition & #GenerativeAI to transcribe patient-physician conversations & notes—so healthcare application builders can spend less time with the pen & more with the patient. 👉 https://t.co/JyXT8xpVD9 pic.twitter.com/miioyjOW6l
Diverse language recognition & robust training
'Amazon Transcribe' now boasts the ability to decipher an extensive array of spoken languages, enabling seamless call transcriptions. Leveraging self-supervised algorithms and training on millions of hours of unlabeled audio data from over 100 languages, the platform demonstrates a commitment to inclusivity by avoiding the overrepresentation of certain languages.
This approach ensures that the accuracy of lesser-used languages is on par with their more frequently spoken counterparts.
Enhanced accuracy & advanced features
The advancements in Amazon Transcribe translate to a remarkable 20 to 50 percent improvement in accuracy over its previous iteration across multiple languages. The platform introduces automatic punctuation, custom vocabulary, automatic language identification, and custom vocabulary filters.
Capable of recognising speech in various audio and video formats, even in noisy environments, Amazon Transcribe stands out as a versatile solution. AWS remains tight-lipped about the specific foundation models used in Amazon Transcribe.
Synergies with call analytics & AI-powered summarisation
The language recognition prowess of Amazon Transcribe not only elevates its standalone capabilities but also amplifies the accuracy of the Call Analytics platform. Now infused with generative AI models, the 'Call Analytics' feature efficiently summarises interactions between agents and customers.
This not only streamlines post-call reporting tasks but also enables managers to swiftly glean crucial information without navigating through the entire transcript.
While AWS faces competition in the AI-powered transcription arena, these advancements position Amazon Transcribe as a formidable contender, offering a comprehensive and cutting-edge solution for diverse linguistic needs.
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