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

MarkTechPost
Read the full article
The Technology Innovation Institute (TII) launched Falcon-ASR, a 1.6B parameter Arabic speech recognition model focused on the Emirati dialect, achieving a 20.92% average word error rate across six Arabic test sets, outperforming previous models. Falcon-ASR also transcribes English, French, Spanish, and Portuguese, but currently is accessible only via a hosted demo without published weights or API.

More on this story


More in Machine Learning

Machine Learning3 min read

Microsoft launches a decision model built on Alibaba’s Qwen

The Next Web
Machine Learning12 min read

Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations

Meta AI News
Machine Learning11 min read

Deploy decision models with llama.cpp on Amazon SageMaker AI

AWS Blog