Speech AI technologies such as automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) automate millions of conversations today. They provide customers with a personalized human-like experience through such applications as Virtual Assistant, Contact Center …

Most organizations believe that adopting advanced speech, translation, and generative AI improves user experience. They look for ways to integrate them into their businesses to transform user experiences with digital applications globally. Join us at Speech and Generative AI Developer Day to …

There are an increasing number of out-of-the-box automatic speech recognition (ASR) solutions to support new and innovative conversational applications across the enterprise landscape. While their performance is generally satisfactory for many uses, there are real limitations when applying them to…

Creating practical real-time speech-AI-based applications requires sophisticated software to handle natural speech, different accents, and domain-specific vocabularies for various languages and environments. Learn about building real-time multimedia transcription, from selecting and optimizing…

To maintain world-class platforms that meet customer expectations across the globe, progressive companies are adopting highly accurate and performant real-time speech AI – localized to support required languages -- and integrating it within the existing cloud, hybrid, or on-premises systems …

Learn about the challenges and the best practices in building highly accurate multi-language voice-enabled applications using NVIDIA Riva and packaged audio transcription and intelligent virtual assistant workflows. Discover how Interactions intelligent virtual assistants can transform customer …

Companies face a growing challenge to provide efficient and effective customer service to a large and diverse customer base. The high volume of calls in multiple languages, coupled with the need to meet regulatory compliance and ensure secure management of customer data and personal information, …

Since up to 90% of the world’s data is unstructured, enterprises are adopting conversational AI technologies to extract value and insights from these data. While GPU-accelerated natural language processing (NLP) tools help process text data, enterprises increasingly need a solution stack that can …

When customers reach out to telco contact centers, they expect prompt and efficient solutions delivered in their native languages. But communication challenges and a lack of helpful information often result in a stressful, frustrating experience for customers and agents.To address this challenge, …

Speech recognition delivers significant value in the areas of automotive, customer services, and smart home devices. Achieving a high level of accuracy in speech recognition can be challenging. NVIDIA Riva is a GPU-accelerated SDK for building speech AI applications that can be customized to deliver real-…

Speech AI technologies such as automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) automate millions of conversations today. They provide customers with a personalized human-like experience through such applications as Virtual Assistant, Contact Center …