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In this episode, we explore the fascinating world of automated speech scoring with a focus on SpeechRater, the powerful AI engine used in assessments like the TOEFL Speaking test. Discover how computers are trained to analyze and grade spoken language by breaking down features such as pronunciation, fluency, vocabulary, and coherence. We’ll dive deep into the mechanics behind SpeechRater, discussing how it processes everything from pauses to sentence complexity, and how it combines these data points to generate an accurate score. Beyond testing, we also explore the broader implications of this technology—from language learning to speech therapy—and discuss the ethical challenges that arise when developing inclusive, unbiased systems. Join us for a thought-provoking journey into the future of language assessment!

Free TOEFL Speaking practice:

• My Speaking Score

Free resources:

• TOEFL Speaking Course
• SpeechRater Blog
• SpeechRater Knowledge Base

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My Speaking Score serves 000s of users across the globe by helping them data-power their TOEFL Speaking prep.