Conversational AI

Accelerate the full pipeline, from multilingual speech recognition and translation to language understanding and speech synthesis.

Conversational AI applications—such as virtual assistants, digital humans, and chatbots—are paving a revolutionary path to personalized, natural human-machine conversations. But they face strict accuracy and latency requirements. With NVIDIA’s conversational AI solutions, developers can quickly build and deploy cutting-edge models that deliver the high accuracy and quick responses needed for real-time interactions.

The Benefits of Conversational AI

Agent Efficiency

Agent Efficiency

Support contact center agents by transcribing their customer conversations in real time, analyzing them, and providing recommendations to quickly resolve customer queries.

Digital Accessibility

Digital Accessibility

Allow people with hearing difficulties to consume audio content and individuals with speech impairments to express themselves more easily.

24/7 Availability

24/7 Availability

Use chatbots and AI virtual assistants to resolve customer inquiries and provide valuable information outside of human agents' normal business hours.

Engaging Experiences

Engaging Experiences

Offer engaging experiences with capabilities like live captioning, generating expressive synthetic voices, and understanding customer preferences.

Introduction to Conversational AI

Get an introduction to conversational AI, how it works, and how it’s applied in industry today. 

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Conversational AI Across Industries

Finance

Financial Services

Detecting fraudulent activity is critical for any organization in the financial services industry. Chatbots can assist by identifying patterns of transactions made, including amounts and locations, and personalizing interactions. Conversational AI can also be used in agent assistance and transcription of earning calls to increase call coverage.

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Telecommunications

Telecommunications

Contact centers are one of the first things that come to mind when we think of the telecommunications industry. They’re at the heart of any telco business, and conversational AI can advance and accelerate many applications such as agent assist, AI virtual agents, and insight extraction and sentiment analysis.

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Consumer Services

Consumer Services

Conversational AI improves the consumer services industry, from creating meeting summaries and scheduling follow-up meetings to generating live captioning during virtual meetings. In addition, conversational AI can bring voice commands to smart glasses and generate synthetic human-sounding voices.

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NVIDIA Solutions for Conversational AI Applications

Speech and Translation AI

Speech AI technologies include automatic speech recognition (ASR) and text-to-speech (TTS). With the NVIDIA® Riva GPU-accelerated speech and translation AI SDK, you can develop and deploy real-time multilingual models and integrate them into your conversational AI application pipelines.

To get the most out of Riva, use any NVIDIA H100, L4, A100, A10, or T4 Tensor Core GPU. Learn more about speech and translation AI, its benefits, use cases, and building challenges

 

Deploy Highly Customizable Pretrained Models With NVIDIA Riva

Integrate fully customizable speech and translation AI with comprehensive language, accent, and dialect coverage into your solutions to provide superior user experiences. Deploy them optimized for maximum performance in the cloud, in the data center, in embedded devices, and at the edge.

Learn More About Riva ›
Simplify Deployment with NVIDIA Riva

Accelerate Development and Deployment With NVIDIA Speech AI Workflows

Accelerate development with packaged AI workflows for audio transcription and intelligent virtual assistants. Available with a purchase of NVIDIA Riva, AI workflows include full enterprise support, AI frameworks and pretrained models, and resources such as Helm charts, Jupyter Notebooks, and documentation to help you jump-start building AI solutions.

Learn More About the Audio Transcription Workflow ›
Learn More About the Intelligent Virtual Assistant Workflow ›

Large Language Models

Large language models generate, summarize, translate, predict, and generate content using very large datasets. Typically, these models have billions of parameters. NVIDIA NeMo™ simplifies building, customizing, and deploying generative AI models.

 

Build and Run Custom Large Language Models With the NeMo Service

A cloud service for enterprise hyperpersonalization and at-scale deployment of large language models.

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Train Generative AI Models With NeMo Framework

An end-to-end, cloud-native enterprise framework for building, customizing, and deploying generative AI models with billions of parameters.

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Accelerating Enterprises and Developer Libraries

  • Ecosystem Partners
  • Developer Libraries

GPU-accelerate top speech, translation, and language workflows to meet enterprise-scale requirements.

Artisight
Botpress
Computa Center DE
Data Monsters
Exigent AI
Infosys DE
InstaDeep
Intelligent Voice
Interactions
Kensho
Kore ai
Latitude
Lexistem
Malamute
MeetKai
Minervacq
MoneyPenny
Morning Star
MTS
NetApp
Pendulum
Plabook
QuantiPhi
Read AI
Samespace
Siminsights
SliceX AI
Smartcow
Softserve
SVA
Talkwaker
Tarteel AI
Text.cortex
VectorVentures
Verneek
Voca.ai
WASP
Writer

Build GPU-accelerated, state-of-the-art deep learning models with popular conversational AI libraries.

DeepPavlov
ESPNet
Hugging Face
Ludwig
PerceptiLabs
SpaCy
RASA

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming Conversational AI sessions at GTC.

Speech AI Demystified

Speech AI technologies, including automatic speech recognition and text-to-speech, are ubiquitous in consumer applications such as virtual assistants and are increasingly being used in industries to provide personalized human-like interactions through service robots and digital avatars.

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How to use Generative AI to Build Content for Real-World Applications

Join us at GTC23 to learn how recent developments in generative AI can amplify creative problem-solving, bring new ideas to life, and see how these applications can potentially be implemented by examining a case study.

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Transforming Contact Centers with Speech AI

We’ll explore the benefits and challenges of using automatic speech recognition, multi-language translation, and text-to-speech to deliver faster and more accurate customer self-service.

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