AppTek has been building large language models (LLMs) applied to a variety of human language technology (HLT) topics, ranging from the development of custom LLMs for enterprise specific applications, to augmenting existing automatic speech recognition (ASR), neural machine translation (NMT), text-to-speech (TTS), natural language processing and understanding (NLP/U) models to improve the accuracy and fluency of these systems. Additionally, AppTek’s Data Science team has incorporated its ABCD (AI Bias Correction Data-Science) methodology and evaluation protocols, as well as integrating AppTek’s 4D methodology, which covers a balanced representation of diverse Dialects, Demographics, Domains and Devices, to find ways to ways to increase diversity, equity and ethics in multilingual LLMs, and offer more inclusive and ethical natural language generation systems for enterprise applications.
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In celebration of International Women’s Day, it is important to acknowledge the ongoing struggle for gender equality and inclusivity in the technology sector. The digital world offers an unprecedented opportunity for the improvement of the lives of all historically marginalized groups, including women, but it can easily also threaten their well-being. With perpetuated discrimination in the tech sector and bias in automated systems, gender inequalities could be entrenched instead of eliminated. This is why it is even more crucial for women to participate in tech design and governance so that they can help create a digital world that serves everyone’s needs and promotes equality.
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An interview with Alex Perez, AppTek's Lead Scientist for Neural Speech Synthesis, covering topics including the current state-of-the-art for text-to-speech technologies and the future of speech synthesis and automatic dubbing.
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SLT 2022 kicks off this week in Doha, Qatar. AppTek scientists will be presenting papers surrounding the latest advancements in automatic dubbing and speech recognition technologies.
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An interview with Parnia Bahar, AppTek's Lead Scientist for Speech Translation, covering topics including women in machine learning, the road to obtaining a PhD, and the future of speech translation and automatic dubbing.
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AppTek 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) 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.
