Indigenous languages are under threat. Some 3,000 - three-quarters of the total - could disappear before the end of the century, or one every two weeks, according to UNESCO.
As part of a movement to protect such languages, New Zealand's Te Hiku Media, a broadcaster focused on the M ori people's indigenous language known as te reo, is using trustworthy AI to help preserve and revitalize the tongue.
Using ethical, transparent methods of speech data collection and analysis to maintain data sovereignty for the M ori people, Te Hiku Media is developing automatic speech recognition (ASR) models for te reo, which is a Polynesian language.
Built using the open-source NVIDIA NeMo toolkit for ASR and NVIDIA A100 Tensor Core GPUs, the speech-to-text models transcribe te reo with 92% accuracy. It can also transcribe bilingual speech using English and te reo with 82% accuracy. They're pivotal tools, made by and for the M ori people, that are helping preserve and amplify their stories.
There's immense value in using NVIDIA's open-source technologies to build the tools we need to ultimately achieve our mission, which is the preservation, promotion and revitalization of te reo M ori, said Keoni Mahelona, chief technology officer at Te Hiku Media, who leads a team of data scientists and developers, as well as M ori language experts and data curators, working on the project.
We're also helping guide the industry on ethical ways of using data and technologies to ensure they're used for the empowerment of marginalized communities, added Mahelona, a Native Hawaiian now living in New Zealand.
Building a House of Speech' Te Hiku Media began more than three decades ago as a radio station aiming to ensure te reo had space on the airwaves. Over the years, the organization incorporated television broadcasting and, with the rise of the internet, it convened a meeting in 2013 with the community's elders to form a strategy for sharing content in the digital era.
The elders agreed that we should make the stories accessible online for our community members - rather than just keeping our archives on cassettes in boxes - but once we had that objective, the challenge was how to do this correctly, in alignment with our strong roots in valuing sovereignty, Mahelona said.
Instead of uploading its video and audio sources to popular, global platforms - which, in their terms and conditions of use, require signing over certain rights related to the content - Te Hiku Media decided to build its own content distribution platform.
Called Whare K rero - meaning house of speech - the platform now holds more than 30 years' worth of digitized, archival material featuring about 1,000 hours of te reo native speakers, some of whom were born in the late 19th century, as well as more recent content from second-language learners and bilingual M ori people.
Now, around 20 M ori radio stations use and upload their content to Whare K rero. Community members can access the content through an app.
It's an invaluable resource of acoustic data, Mahelona said.
Turning to Trustworthy AI Such a trove held incredible value for those working to revitalize the language, the Te Hiku Media team quickly realized, but manual transcription required pulling lots of time and effort from limited resources. So began the organization's trustworthy AI efforts, in 2016, to accelerate its work using ASR.
No one would have a clue that there are eight NVIDIA A100 GPUs in our derelict, rundown, musky-smelling building in the far north of New Zealand - training and building M ori language models, Mahelona said. But the work has been game-changing for us.
To collect speech data in a transparent, ethically compliant, community-oriented way, Te Hiku Media began by explaining its cause to elders, garnering their support and asking them to come to the station to read phrases aloud.
It was really important that we had the support of the elders and that we recorded their voices, because that's the sort of content we want to transcribe, Mahelona said. But eventually these efforts didn't scale - we needed second-language learners, kids, middle-aged people and a lot more speech data in general.
So, the organization ran a crowdsourcing campaign, K rero M ori, to collect highly labeled speech samples according to the Kaitiakitanga license, which ensures Te Hiku Media uses the data only for the benefit of the M ori people.
In just 10 days, more than 2,500 signed up to read 200,000+ phrases, providing over 300 hours of labeled speech data, which was used to build and train the te reo M ori ASR models.
In addition to other open-source trustworthy AI tools, Te Hiku Media now uses the NVIDIA NeMo toolkit's ASR module for speech AI throughout its entire pipeline. The NeMo toolkit comprises building blocks called neural modules and includes pretrained models for language model development.
It's been absolutely amazing - NVIDIA's open-source NeMo enabled our ASR models to be bilingual and added automatic punctuation to our transcriptions, Mahelona said.
Te Hiku Media's ASR models are the engines running behind Kaituhi, a te reo M ori transcription service now available online.
The efforts have spurred similar ASR projects now underway by Native Hawaiians and the Mohawk people in southeastern Canada.
It's indigenous-led work in trustworthy AI that's inspiring other indigenous groups to think: If they can do it, we can do it, too,' Mahelona said.
Learn more about NVIDIA-powered trustworthy AI, the NVIDIA NeMo toolkit and how it enabled a Telugu language speech AI breakthrough.
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Indigenous languages are under threat. Some 3,000 - three-quarters of the total - could disappear before the end of the century, or one every two weeks, according to UNESCO.
