1. Topics
  2. AI
  3. Conversational AI

Conversational AI

Conversational Al is the use of machine learning to develop speech-based apps that allow humans to interact naturally with devices, machines, and computers using speech.

Scroll to Resources:

Learning Library

Key Topics:

  • Speech-to-Text (STT)
  • Text-to-Speech (TTS)
  • Automatic Speech
  • Recognition (ASR)
  • Retrieval-Augmented
  • Generation (RAG)
  • Large Language
  • Models (LLM)
A workflow diagram showing how NVIDIA Conversational AI works

Click to Enlarge

How Conversational AI Works

When you present an application with a question, the audio waveform is converted to text during the automatic speech recognition (ASR) stage. It converts the speech audio signal into text for processing by subsequent components. The question is then interpreted, and a large language model enhanced with retrieval-augmented-generation generates a response. Finally, the text is converted into speech signals to generate audio for the user during the text-to-speech (TTS) stage, also known as speech synthesis.

Explore Conversational AI Tools and Technologies

NVIDIA Riva

NVIDIA Riva includes automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT).

Get Started With Riva

NVIDIA NeMo

NVIDIA NeMo includes tools for developing and deploying custom generative AI, including large language models (LLMs), multimodal, vision and speech and translation AI.

Get Started With NeMo

NVIDIA NIM

NVIDIA NIM ™ is a set of easy-to-use microservices designed to accelerate the deployment of generative AI models across any cloud or data center.

Get Started With NIM

Conversational AI Learning Library