Amazon Transcribe announces a new speech foundation model-powered ASR system that expands support to over 100 languages

Amazon Transcribe announces a new speech foundation model-powered ASR system that expands support to over 100 languages AI News, AI, AI tools, AWS Machine Learning Blog, Innovation, itinai.com, LLM, Sumit Kumar, t.me/itinai 🔹 Introducing Amazon Transcribe’s New Speech Foundation Model-Powered ASR System 🔹 Exciting news for businesses looking to add speech-to-text capabilities to their applications! Amazon Transcribe has launched a next-generation multi-billion parameter speech foundation model-powered system that now supports over 100 languages. 🔸 Benefits of the New ASR System 🔸 Here are the key benefits of the new ASR system: ✅ Significant accuracy improvement, ranging from 20% to 50% across most languages ✅ Improved accuracy of telephony speech by 30% to 70% ✅ Enhanced readability with more accurate punctuation and capitalization ✅ Support for over 100 languages ✅ Features like automatic punctuation, custom vocabulary, automatic language identification, speaker diarization, word-level confidence scores, and custom vocabulary filter ✅ Expanded support for different accents, noise environments, and acoustic conditions 💼 Real-World Use Case: Carbyne 💼 Carbyne, a software company specializing in cloud-based contact center solutions for emergency call responders, has successfully used Amazon Transcribe to improve emergency response for non-English speakers. Leveraging the power of the new multilingual foundation model-powered ASR, Carbyne can ensure that every person, regardless of language, receives life-saving emergency services. 🚀 How to Get Started 🚀 To start using Amazon Transcribe, you can choose from multiple options such as the AWS Command Line Interface (AWS CLI), AWS Management Console, or various AWS SDKs. Simply upload your media files to an Amazon S3 bucket and decide whether to save your transcript in your own bucket or use a secure default bucket. You don't need to make any changes to the API endpoint or input parameters to access the speech foundation model-powered speech recognition. 📜 Transcription Output 📜 Amazon Transcribe provides transcription output in JSON format, including the transcript in both text and itemized formats. It also includes additional metadata such as speaker labels, channel labels, items, and segments. 🔑 Conclusion 🔑 With Amazon Transcribe's expanded language support, your business can effectively serve users from diverse linguistic backgrounds, enhance accessibility, and enable global communication and information exchange. To learn more about the features and benefits of Amazon Transcribe, visit our features page and what's new post. 💡 Evolve Your Company with AI 💡 If you want to stay competitive and harness the power of AI, consider using Amazon Transcribe's new speech foundation model-powered ASR system. Discover how AI can revolutionize your work processes by identifying automation opportunities, defining measurable KPIs, selecting the right AI solution, and implementing gradually. For expert advice on AI KPI management, connect with us at hello@itinai.com. Stay updated on leveraging AI by following us on Telegram t.me/itinainews or Twitter @itinaicom. 🔦 Spotlight on a Practical AI Solution: AI Sales Bot 🔦 Explore the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement and manage interactions at every stage of the customer journey. Discover how AI can redefine your sales processes and customer engagement. Visit itinai.com to learn more. 🔗 List of Useful Links: 🔗 ▶️ AI Lab in Telegram @aiscrumbot – free consultation ▶️ Amazon Transcribe announces a new speech foundation model-powered ASR system that supports over 100 languages ▶️ AWS Machine Learning Blog ▶️ Twitter – @itinaicom