aiqbench takeMachine Learning

TII has launched Falcon-ASR, a specialized 1.6B parameter speech recognition model optimized for Emirati Arabic dialects. While the model demonstrates a Word Error Rate of 20.92% across six test sets, immediate access to weights or an API is currently restricted, limiting its practical integration for developers at this stage. This release highlights ongoing efforts to improve low-resource language capabilities within the broader field of speech recognition AI.

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TII Releases Falcon-ASR: 1.6B Arabic Speech Model Hits 20.92% WER

MarkTechPostOctober 12, 20261 min read

TII has released Falcon-ASR, a 1.6B speech recognition model for Arabic with an Emirati focus. It reports 20.92% average WER on 6 Arabic test sets, but weights and an API are not yet available. The post TII Releases Falcon-ASR: 1.6B Arabic Speech Model Hits 20.92% WER appeared first on MarkTechPost.

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