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NVIDIA-NeMo/NeMo

A scalable generative AI framework for researchers and developers focused on Large Language Models, Multimodal, and Speech AI (ASR, TTS).

Core Features

Supports Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech LLMs.

Provides a rich collection of pre-trained models and checkpoints (e.g., Parakeet, Canary, MagpieTTS, Nemotron-Speech).

Designed for efficient creation, customization, and deployment of AI models.

Scalable and built for PyTorch developers.

Offers low-latency streaming inference and multilingual support.

Quick Start

pip install nemo-toolkit

Detailed Introduction

NVIDIA NeMo Speech is a robust, scalable generative AI framework tailored for researchers and PyTorch developers specializing in speech AI, including Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech Large Language Models (LLMs). It empowers users to efficiently build, customize, and deploy advanced AI models by leveraging a rich collection of existing code and pre-trained checkpoints. The framework emphasizes performance, offering features like low-latency streaming inference and multilingual capabilities, making it a powerful tool for developing cutting-edge conversational AI and speech processing applications.