Deepgram Expands Nova-3 with Arabic Speech-to-Text

Deepgram has launched a cutting-edge monolingual Arabic speech-to-text model on its Nova-3 platform, optimized for real-world spoken Arabic and supporting 17 regional dialects, including those from the Middle East, Gulf, and North Africa. This new model excels in production-grade applications such as call centers and speech analytics, offering high accuracy with up to a 40% reduction in word error rates compared to competitors. Notably, it introduces Keyterm Prompting to enhance transcription accuracy across different dialects without needing to retrain the model, making it an adaptable solution for developers and enterprises. Nova-3 Arabic is available in both cloud API and self-hosted deployment modes, catering to varied data residency, privacy, and latency needs, and is the first Nova-3 model to support a right-to-left language, broadening its script compatibility.