AppTek announces today that it has updated many of its AI language models. “As a pioneer in the field of Automatic Speech Recognition (ASR), AppTek and our science team remain on the cutting edge of AI and machine learning,” said Mudar Yaghi, Chairman of AppTek. “Our research progress translates directly into more accurate, reliable and affordable solutions for our commercial partners.”
AppTek is updating its Arabic, Chinese, English, French, German, Italian, Russian and Spanish models in time for its participation in both the NAB Show and the SpeechTEK conference in April. “We are excited to exhibit our extensive experience with broadcast and other media platforms at NAB and our telephony / call center expertise at SpeechTEK,” stated Yaghi.
ABOUT APPTEK:
As a pioneer in automatic speech recognition, machine learning and artificial intelligence; AppTek partners with its customers to provide solutions focused on closed captioning and subtitling, call center content discovery and mobile intelligent voice agents. In today’s hyper-connected and data-rich marketplace, enterprises are seeking to drive revenue, save costs and increase productivity. Customers rely on AppTek to solve for these issues by delivering the market’s robust speech technology solutions focused on mining for business insights, ensuring compliance and delivering value across the enterprise. For more information, visit www.apptek.com.
AppTek.ai is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U), large language models (LLMs) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading solutions for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek’s solutions cover a wide array of languages/ dialects, channels, domains and demographics.
