Speech recognition refers to the computational ability to convert spoken language into text. Speaking is our most natural way of communicating, and it is also our fastest way to do so. While increased speed is the main reason voice command is rapidly becoming a main feature on smart devices, it’s also a matter of convenience. Practicality has long been known…
Machine Learning (ML) is a branch of Artificial Intelligence (AI) that is revolutionizing the workplace. It refers to the process of developing self-learning algorithms by way of simple data input. The goal with machine learning is to increase accuracy. It does this by optimizing the performance of a task from experience gained with running through related datasets. Any improvement to…
All too often, the terms Artificial Intelligence (AI) and Machine Learning (ML) are used interchangeably. This improper use of the terminology can contribute to a significant amount of confusion around an already complex field of computer science. As such, there is a greater risk of propagating mistruths about what either terms refer to; particularly when they are being explained to…
The future of Artificial Intelligence is more incredible than ever previously thought possible; we’re proud and honored to be a part of it. Last week, TranscribeMe was invited to be featured, among many other top AI companies, at Zinnov’s annual ‘Confluence 2017‘ – a meeting of the best minds working in artificial intelligence today. Themed around the subject of Artificial Intelligence…
How would your professional life change if you never missed an important detail or key phrase again? Our CEO, Alexei Dunayev, recently sat down with the team at Propel(x) to talk about how TranscribeMe‘s powerful speech technology is helping to move the transcription world forward. Check out highlights from the interview below, and read the rest on the Propel(x) blog….
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