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Meta Unveils Speech Recognition Model Covering 1,600 Global Languages
Meta launched a speech-to-text model covering 1,600 languages, improving AI accessibility and accuracy across low-resource dialects and expanding multilingual capabilities.
Meta introduced a new speech-to-text system capable of supporting more than 1,600 global languages, including several rare dialects spoken across India and other regions. The company highlighted the initiative as part of its commitment to expanding inclusive AI technologies and enhancing global accessibility. The model improves transcription accuracy across low-resource languages and broadens potential applications in education, civic services, and cross-border communication. Meta plans further refinements as it integrates language support across platforms, reinforcing competition in multilingual AI systems.