Blog
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Hume Raises $50M Series B and Releases New Empathic Voice Interface
To build emotionally intelligent voice AI, Hume AI raised a $50m Series B round led by EQT Ventures and joined by Union Square Ventures, Nat Friedman & Daniel Gross, Metaplanet, Northwell Holdings, Comcast Ventures, and LG Technology Ventures.
Mar 25, 2024
What is semantic space theory?
Our models and products are built on a cutting-edge approach to understanding emotion: semantic space theory (SST), which uses computational methods and data-driven approaches to map the full spectrum of our feelings
Jeffrey Brooks / Feb 21, 2024
Publication in iScience: Understanding what facial expressions mean in different cultures
How many different facial expressions do people form? How do they differ in meaning across cultures? Can AI capture these nuances? Our new paper provides new in-depth answers to these questions with the help of machine learning.
Jeffrey Brooks / Feb 20, 2024
Introducing a new evaluation for creative ability in Large Language Models
Introducing HumE-1 (Human Evaluation 1), our new evaluation for large language models (LLMs) that uses human ratings to evaluate LLMs for their ability to perform creative tasks in the ways that matter to us, evoking the feelings we want to feel.
Feb 9, 2024
Tutorial: Hands-on with Hume's Custom Model API
Our Custom Model API can be used to predict your own labels of any audio, video, image, or text file. In this short tutorial, we'll walk you through how to build a Custom Model that integrates language, voice, and/or facial movement and is automatically deployed through our API.
Dec 18, 2023
Announcing our Custom Model API
Hume's Custom Model API integrates dynamic patterns of facial expression, vocal expression, and/or language into a custom multimodal model, leveraging insights gained by pretraining on millions of videos and audio files to predict your labels as accurately as possible, even after seeing just a few dozen new examples.
Dec 14, 2023