Disney Animates Sign Language Versions Of Iconic Songs

Ahead of next week’s Disney+ debut, we’ve got a behind-the-scenes look at Disney Animation’s ‘Songs in Sign Language,’ including how the team reworked performances.

\robotoslablightdots.tts Technical Report

Text-to-speech (TTS) systems have largely solved intelligibility on standard read-speech benchmarks. What users expect from a modern system is broader: expressive and controllable output, real-time synthesis, and coverage of neutral reading, emotional dialogue, paralinguistic events, singing, and general audio. Current systems pursue this goal along three roughly distinct technical routes, and each route has its own unresolved problem.

Introducing GPT-Live

A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.

Interaction Models: A Scalable Approach to Human-AI Collaboration

Interaction models move beyond turn-based AI interfaces by handling multimodal, real-time collaboration natively across audio, video, and text.

The path to ubiquitous AI | Taalas

By Ljubisa Bajic Many believe AI is the real deal. In narrow domains, it already surpasses human performance. Used well, it is an unprecedented amplifier of human ingenuity and productivity. Its widespread adoption is hindered by two key barriers: high latency and astronomical cost. Interactions with language models lag far...

Businesses Go Viral for Making Signs Without AI

In the wake of the ChatGPT flyer pandemic, some businesses are differentiating themselves by making signs the old school way.

Bee - Your new wearable personal AI

Bee is the personal wearable Ai that understands you.

Artificial intelligence-powered glasses could be a gamechanger for those with hearing loss | About | University of Stirling

A project building on a 2015 University of Stirling study could harness AI to support those with hearing loss

Launching a free, open-source, on-device transcription app

TL;DR – Please try Moonshine Note Taker on your Mac! For years I’ve been telling people that AI wants to be local, that on-device models aren’t just a poor man’s alternative…

Critical analysis of datasets for sign language translation

IntroductionIn recent years, significant progress has been made in Machine Translation (MT), including multilingual and low-resource settings. However, Sign Language Translation (SLT) remains underdeveloped, largely due to the scarcity of high-quality datasets and the overreliance on a few small, widely used benchmarks. This study aims to critically assess the datasets most commonly used in SLT research to determine whether their characteristics may lead to overfitting and misleading evaluation results.MethodsWe then conduct a detailed empirical study comparing training and test set similarity for PHOENIX14T, CSL-Daily, and LSE-Health. Using both gloss-based (TwoStream-SLT) and gloss-free (GFSLT-VLP) models, we evaluate the extent to which models memorize training data and how this affects BLEU scores.ResultsOur analysis reveals that PHOENIX14T exhibits substantial overlap between training and test sets, leading to inflated BLEU scores and can even mask signs of overfitting. CSL-Daily shows less overlap and more robust generalization. We also show that a small subset of “training-like” sentences disproportionately contributes to BLEU scores.DiscussionWe recommend that future SLT research move away from overused benchmarks and adopt larger, more diverse datasets such as How2Sign, CSL-News, and FLEURS-ASL. We also advocate for a shift toward gloss-free approaches and more careful interpretation of evaluation metrics, especially in low-resource settings.

Introducing Whisper – an open source voice note taking app! Record voice notes and transcribe them into lists, blogs, & more with AI. 100% free & open source. https://t.co/UZWGkUDJ6d

Introducing Whisper – an open source voice note taking app!Record voice notes and transcribe them into lists, blogs, & more with AI.100% free & open source. pic.twitter.com/UZWGkUDJ6d— Hassan (@nutlope) July 22, 2025

Arcee AI | Announcing the Arcee Model Engine Public Beta

Get direct access to the small language models (SLMs) that power Arcee Orchestra, our new end-to-end, SLM-powered agentic AI platform. Sign up for the public beta of the Arcee Model Engine today.

Smart Glasses for Disabled People

This paper introduces an innovative assistive technology aimed at improving the quality of life for individuals with visual impairments. This project presents a system that combines the capabilities You Only Look Once [6] (YOLO) deep learning algorithm with the ESP32 [7] microcontroller to create Object Detection Glasses. These glasses employ real-time object detection to provide users with auditory feedback about their surroundings, enabling them to navigate and interact with their environment more independently. The first task of the glasses is to take pictures of the object and store it as a snap. The second task is that they compare the captured image to the existing image. In order to convert the text into speech, it used Text to Speech technology (TTS). The picture will be taken by ESP 32 with the perfect size the image will be displayed and then by using the speaker the object will be detected. The integration of YOLO [6] and ESP32 [7] offers a cost-effective and efficient solution for enhancing accessibility and inclusivity, promoting greater autonomy and safety for individuals with visual disabilities.