1423: Closing the Accent Gap in AI-driven Speech Recognition Tech - a podcast by Neil C. Hughes

Speechmatics is an AI-driven speech to text provider. The company powers applications that require mission-critical, accurate speech recognition using its any-context speech recognition engine. Its technology is used by enterprises in scenarios such as contact centers, CRM, consumer electronics, security, media & entertainment, and software.

Speechmatics processes millions of hours of transcription worldwide every month in 30+ languages. Having pioneered machine learning voice engineering, Speechmatics enables companies to build applications that detect and transcribe voice in any context and in real-time. Its neural networks consider acoustics, languages, dialects, multiple speakers, punctuation, capitalization, context, and implicit meanings.

Katy Wigdahl, Speechmatics CEO, is an experienced C-Level exec and was the company's CFO before taking over as their first female CEO officially in August.

Katy has noticed the different languages of male and female leaders. From defining words differently – "ambition" or "optimize" – to more or less frequently referencing first or third person, she believes that dissecting the language of leadership can help us better understand how organizations led by men or women act, react and measure success differently.

We discuss the different languages of male and female CEOs, encouraging women in technology, and the lessons Katy has learned when moving from the CFO to CEO roles. Finally, we talk about the importance of closing the "accent gap" in AI-driven speech recognition technology.

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