Lost In Transcription: Advancing Speech Recognition for Underserved Linguistic ContextsThis competition evaluates performance on real-world bilingual dialogues in Indonesian-Javanese, Nahuatl-Spanish, and Spanish-English.For speech technolo…
Helping organisations participate more directly in the AI economy while making it easier for AI builders to discover responsibly sourced datasets.Earlier this month, we shared a preview of Compensated Datasets and our vision for creating mo…
Mozilla Common Voice is a massively multilingual platform for collecting speech data to train automatic speech recognition (ASR). Its mission is simple: to make language technology understand everyone’s mother tongue.But for datasets to be
New collaboration expands visibility for community-governed language datasets and improves exploration of linguistic resources, services and tools.Mozilla Data Collective datasets are now discoverable through CLARIN’s Virtual Language Obser…
Mozilla Data Collective was built to redefine how AI data is created, shared, and governed. As part of our mission to be the data sharing platform for human agency and fair value exchange, we have long-teased what so many partners and commu…
Mozilla Data Collective is the data sharing platform for human agency and fair value exchange. Our vision is a tech future that is multilingual, multicultural, and multimodal; our mission is to achieve that future by redefining how AI data
Why fine-tuning Whisper is a dataset problemOpenAI's Whisper changed what's possible in speech recognition: a single multilingual model with strong zero-shot performance across dozens of languages. But "dozens" is the catch. But for the lon…
For more than 75 years, Radio Free Europe/Radio Liberty (RFE/RL) has promoted democratic values by providing accurate, uncensored news and debate in countries where a free press is threatened. RFE/RL reaches more than 44 million people ever…
Ever downloaded a huge dataset? Watched a Download meter for hours as tens of gigabytes trickle down the internet pipes to your hard drive? Only to then import it into pandas and discover it wasn't quite what you needed? We share your frust…
The problem with "low-resource" machine translationMost production machine-translation systems in 2026 are still trained on a fairly narrow set of language pairs: the 50 or so for which the open web supplies enough parallel text to push BLE…
Why dataset selection matters more than scaleThere was a time when the entire conversation about text-to-speech could be reduced to a single question: how many hours of clean single-speaker audio do you have? The standard answer was twenty-…
Most voice assistants listen and respond in a handful of languages. Try to build one for your home that speaks your language, though, and you quickly run into a wall: the training data does not exist, or it is locked behind licences that ma…