Speech recognition challenges and how to overcome them
Blog post from Speechmatics
Speech recognition technology has improved significantly, with accurate output for many spoken languages, but still faces challenges such as background noise, punctuation placement, capitalization, correct formatting, timing of words, and domain-specific terminology, which can affect accuracy on a case-by-case basis. Additionally, data security and privacy concerns have increased, with 42% of respondents citing mistrust following media portrayals of tech giants, and language coverage remains a barrier to adoption for global businesses. To overcome these challenges, providers must focus on deploying and integrating voice technology in a simple and secure manner, addressing language coverage gaps, and prioritizing data security measures such as on-premises deployment, dark site environments, and private cloud deployments.
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