![]() ![]() Even if captions are accurate but not formatted or designed well they are hard to read.” There are many small things to consider that machines cannot do, also it's important that captions are readable and understandable. “I use auto-captions mostly for informal conversations because auto-captions are often inaccurate, and it's more than just words. “I do not use auto-captions for work,” Kouznetsova, who has impaired hearing, says. She says people should be wary of deploying such tools in business environments and presuming all will be fine following implementation. Improper captions are one reason why Svetlana Kouznetsova, a New York-based B2B accessibility strategy consultant who previously worked in web development, believes AI transcriptions are only fit for purpose when context is understood by all parties. Initial promises of lower costs, and greater access, seems like a reason to jump for joy – but there’s a catch.Ĭreating more customer value in HR software applications With newcomers like Airgram and Verbit garnering huge cash injections in initial funding rounds – $10 million and $23 million respectively in 2022 – it’s important the ecosystem begins to listen to the needs of their customers. Since Rev burst onto the scene in 2010, primarily focused on being a marketplace for freelancers to provide less expensive transcription than was available, the market has seen a large influx of venture capitalism cash. Prior to these tools being available, transcription was often prohibitively expensive. There’s another area, however, where these tools have chosen to focus their energy: accessibility. ![]() Much of transcription software’s marketing is directed at businesses, with features that focus on picking out key moments from recordings and enabling collaboration. Picking apart the faults in AI transcription Far from any particular provider bearing the brunt of the guilt, the ecosystem as a whole is underserving customers for various reasons – from inadequacies in the technology to a lack of accessibility. ![]() The need for accurate automated transcription in both the business-to-business (B2B) and business-to-consumer (B2C) worlds – as well as occupations like journalism – has been ever present, but this need isn’t being served as well as it can be. Machine learning vs AI vs NLP: What are the differences? ![]()
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