AppTek's MT technology was recently evaluated against other leading MT providers as part of Intento's 2021 State of Machine Translation report.
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Today, common approaches to automatic speech-to-speech translation haves traditionally been performed approached through cascading ASR, NMT, and TTS capabilities. AppTek scientists are seeking to streamline this process with direct textless speech-to-speech translation models.
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AppTek's Dr. Volker Steinbiss will be presenting at this year's Languages & The Media Virtual Conference both Wednesday 22nd September at 2pm CEST to offer a deeper dive into machine learning and machine translation as it is applied to audiovisual localization with insights on how far a machine can get without truly understanding language for an Industry Roundtable where he will join Amanda Smith of Discovery, Wayne Garb of OOONA, Mark Howorth of Iyuno and Chair Yota Georgakopoulou to exchange ideas, concerns and questions surrounding the sustainability of the industry to the benefit of all stakeholders.
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AppTek’s tightly woven automatic speech recognition (ASR) and neural machine translation (NMT) technologies combine to create significant efficiencies inside captioning and subtitling workflows, as featured in the September 2021 issue of InBroadcast magazine.
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While automatic speech recognition (ASR) is one of the most mature AI-enabled language technologies, the science behind it is continuously evolving. Today, the use of ASR is widespread across multiple domains ranging from voice-enabled applications to conversational analytics, interview transcriptions, and more, and it continues to gain traction in satisfying increasing accessibility requirements in the USA and abroad. We spoke to AppTek’s Lead Science Architect for ASR, Eugen Beck, to find out more about the current state of ASR and the way forward.
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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.
