{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/apptek-workbench-automatic-speech-recognition-annotation/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"AppTek Workbench - Automatic Speech Recognition Annotation","slug":"apptek-workbench-automatic-speech-recognition-annotation","createdLocal":"2021-05-21 14:30:43.411746","publishDate":"None","feedName":"Image Recognition","sourceUrl":{"sourceUrl":"https://www.johnsoncitypress.com/apptek-workbench---automatic-speech-recognition-annotation/image_f95756bf-fa87-5f14-a3ec-2256ee19c98c.html"},"postSummary":{"childMarkdownRemark":{"html":"<p>MCLEAN, Va., May 21, 2021 /PRNewswire/ -- AppTek, a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), Text-to-Speech (TTS) and Natural Language Processing / Understanding (NLP/U) technologies, announced significant productivity gains through improvements to its Workbench Data Annotation and Labeling Platform.\nThis is the result of ML-enabled automation for the production of multi-format, multi-domain, speech, audio, text, image, natural language and computer vision data, which are used to fuel mission critical AI models for federal and enterprise customers.</p>"}}}},"pageContext":{"slug":"apptek-workbench-automatic-speech-recognition-annotation"}}}