Text-to-Speech
AssessTechniques
Technology that generates spoken audio from text.
Why it's here
Placed in Assess: 3 article(s) of evidence from 2 source(s), led by research-stage coverage, with 2 in the last 30 days. Confidence 46%.
Evidence (3)
- 6Hugging Face Blog·8/10/2026model_releaseNVIDIA Magpie TTS adds open multilingual voice support
NVIDIA Magpie Multilingual TTS is presented as an open-weights text-to-speech model for building low-latency voice agents with full deployment control. The latest release expands coverage to Modern Standard Arabic, Korean, and Brazilian Portuguese, while also improving quality and code-switching support across existing languages.
- 7Hugging Face Blog·7/15/2026researchHume AI unveils Real World VoiceEQ for evaluating voice AI quality
Hume AI introduced Real World VoiceEQ, a benchmark for measuring the human quality of voice AI across speech recognition, text-to-speech, speech-to-speech, and speech understanding. Built from over 1 million human ratings, it evaluates more than 40 models across 15+ dimensions and suggests current voice systems are increasingly specialized rather than having a single best performer.
- 5Martin Fowler·6/16/2026researchHow Bayer Built a Reliable Agentic AI System for Preclinical Research
This case study describes PRINCE, a cloud-hosted platform built by Bayer and Thoughtworks to improve access to preclinical safety study data. The system evolved from keyword search into an agentic retrieval-augmented generation and Text-to-SQL assistant that can answer complex questions and draft regulatory documents, with engineering focused on transparency, recovery, observability, and human oversight.