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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An interview with AppTek's "Women in AI" science team that dives into the roles in STEM (Science, Technology, Engineering and Mathematics) each have undertaken, what excites them in their work and their thoughts on the workplace gender gap.
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Today's Interspeech paper focuses on the linguistic complexities present in non-native spontaneous speech, which is a frequent problem encountered in speech recognition applications, given that so much of today’s English audio content is produced by non-native speakers.
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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.
