How to detect mispronounced words in speech in professional communication can silently undermine your credibility over months and years. Unlike written errors, spoken mistakes happen in real time and are often never noticed by the speaker.
How to detect mispronounced words in speech is a challenge that affects professionals across every industry and role. The gap between knowing you should improve and actually improving comes down to one thing: consistent, objective feedback on real conversations. Without it, the same communication patterns — filler words, grammar errors, unclear phrasing — persist for years.
SpeakFlare addresses how to detect mispronounced words in speech by automatically analyzing every Zoom and Google Meet recording. The platform transcribes each word using AssemblyAI with word-level timestamps, identifies each speaker, and runs AI analysis across four categories: grammar errors, filler words, clarity issues, and presentation effectiveness. You receive a detailed report within minutes of your meeting ending.
The analysis goes beyond surface-level detection. For each identified issue, SpeakFlare provides the exact timestamp and quote from your meeting, explains why it is a problem, and suggests a specific correction. This means you can replay the exact moment in your recording and hear yourself making the mistake — which builds awareness far faster than reading general advice. The platform supports 50+ languages with automatic detection.
Consistent tracking is the key. Review your SpeakFlare analysis weekly and focus on your top three most frequent issues first — improvement compounds when you address patterns systematically.