Deepgram Expands Nova-3 with 10 New Languages and Multilingual Keyterm Prompting

Deepgram has announced a significant expansion of its Nova-3 automatic speech recognition (ASR) model by adding support for 10 new monolingual languages and enhancing its multilingual capabilities with the introduction of Multilingual Keyterm Prompting. This upgrade solidifies Nova-3's status as a leading enterprise ASR model, offering improved accuracy, adaptability, and linguistic precision across a wide array of languages, including those with complex phonetic and grammatical structures from regions like Southern and Eastern Europe, Northern and Baltic Europe, and Southeast Asia. The update addresses challenges posed by tonal variation, morphological complexity, and multi-script writing systems, ensuring low latency and high accuracy in both batch and streaming modes. With measurable accuracy gains, particularly in reducing Word Error Rate (WER), Nova-3 enhances its real-time application potential for voice agents, live captioning, and AI telephony systems. The Multilingual Keyterm Prompting feature allows developers to enhance the recognition of specific terms across multiple languages without retraining, benefiting global enterprises in various sectors by improving domain-specific vocabulary recognition. Overall, Nova-3's continuous advancements aim to provide a comprehensive speech recognition solution adaptable to diverse global markets and linguistic contexts.