FLAIR: Difference between revisions

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We are building the foundations for Indigenous Voice AI in systems explicitly designed to respect data sovereignty and linguistic self-determination. Our foundational automatic speech recognition (ASR) research aims to develop a method for the rapid creation of custom models for endangered languages. These models can be used for language learning, audio transcription, voice-controlled technology and much more. Furthermore, Voice AI will position Indigenous communities to participate in the Metaverse in their heritage languages and facilitate intergenerational language transmission, a critical factor for language vitality. It will enable inclusive immersive experiences in which Indigenous youth can reconnect with their heritage in culturally meaningful exchanges and activities
We are building the foundations for Indigenous Voice AI in systems explicitly designed to respect data sovereignty and linguistic self-determination. Our foundational automatic speech recognition (ASR) research aims to develop a method for the rapid creation of custom models for endangered languages. These models can be used for language learning, audio transcription, voice-controlled technology and much more. Furthermore, Voice AI will position Indigenous communities to participate in the Metaverse in their heritage languages and facilitate intergenerational language transmission, a critical factor for language vitality. It will enable inclusive immersive experiences in which Indigenous youth can reconnect with their heritage in culturally meaningful exchanges and activities
[[Michael Running Wolf]]


Link [https://mila.quebec/en/ai4humanity/applied-projects/first-languages-ai-reality]
Link [https://mila.quebec/en/ai4humanity/applied-projects/first-languages-ai-reality]


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Latest revision as of 16:51, 31 October 2024

The FLAIR initiative serves Indigenous communities in their efforts to revitalise their language and culture through technology.

We are building the foundations for Indigenous Voice AI in systems explicitly designed to respect data sovereignty and linguistic self-determination. Our foundational automatic speech recognition (ASR) research aims to develop a method for the rapid creation of custom models for endangered languages. These models can be used for language learning, audio transcription, voice-controlled technology and much more. Furthermore, Voice AI will position Indigenous communities to participate in the Metaverse in their heritage languages and facilitate intergenerational language transmission, a critical factor for language vitality. It will enable inclusive immersive experiences in which Indigenous youth can reconnect with their heritage in culturally meaningful exchanges and activities


Michael Running Wolf

Link [1]

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