Unlock the Power of SpeechRater™ to Transform Your TOEFL Speaking Prep
SpeechRater™ is an advanced AI-driven scoring engine developed by ETS (Educational Testing Service) to evaluate TOEFL Speaking responses.
By analyzing key aspects of spoken language, including fluency, pronunciation, grammar, and vocabulary, SpeechRater provides automated, data-driven insights into a test-taker's English-speaking proficiency.
Initially introduced to support TOEFL iBT practice tests, SpeechRater has evolved into a powerful tool for modern language assessment, offering fast, objective, and scalable evaluations that align closely with ETS scoring rubrics.
Today, it plays a pivotal role in empowering students, educators, and institutions to approach TOEFL Speaking preparation and evaluation with greater precision and confidence.
This guide was created to be the definitive resource for understanding and leveraging SpeechRater.
Whether you are a student striving for a higher TOEFL Speaking score, an educator seeking tools to guide your students, or a researcher exploring advancements in language assessment, this guide has something for you.
Invest 5-minutes of your time to reading this guide so you will:
SpeechRater™ uses AI-powered algorithms to analyze and score your TOEFL Speaking responses.
It evaluates your spoken English across multiple "a" to provide a comprehensive assessment of your TOEFL Speaking proficiency.
Each analysis is rooted in machine learning models trained on thousands of real TOEFL Speaking responses, enabling SpeechRater to predict scores with high consistency and alignment to ETS’s official TOEFL Speaking rubrics.
SpeechRater’s metrics are closely aligned with the three main constructs of the TOEFL Speaking rubrics:
SpeechRater effectively mirrors the core competencies required by TOEFL Speaking rubrics, making it a powerful and reliable tool for both practice and evaluation.
Strengths:
Limitations:
Watch the video below to learn how you can leverage SpeechRater’s metrics to gain a comprehensive understanding of your performance and focus on meaningful improvements.
SpeechRater™ evaluates TOEFL Speaking responses with a rubric-aligned overall score on a 4-point scale, reflecting the same criteria used by human raters: Delivery, Language Use, and Topic Development from the official TOEFL Speaking rubrics.
This overall score is further broken down into 12 dimension scores, presented as percentiles. These dimensions explain the factors contributing to the 4-point task-level score in TOEFL Speaking, offering detailed insights into specific areas like fluency, pronunciation, grammar, and vocabulary.
On My Speaking Score, these metrics are presented in a various visualizations to help test-takers understand their performance, uncover weaknesses, and take targeted steps to improve effectively.
See a sample SpeechRater report.
The Delivery feature evaluates fluency and pronunciation.
My Speaking Score provides feedback using the following 12 SpeechRater dimensions that align with the the Delivery construct:
The Language Use feature evaluates grammar and vocabulary.
My Speaking Score provides the following SpeechRater metrics that align with the the Language Use construct:
The Topic Development feature evaluates response connectedness.
My Speaking Score provides the following SpeechRater metric that aligns with the the Topic Development construct:
My Speaking Score presents SpeechRater metrics in various visualizations so they align closely with the TOEFL Speaking rubric:
By providing detailed, data-driven insights for each of these areas, My Speaking Score helps you identify weaknesses, track improvements, and align your TOEFL Speaking performance with the scoring standards on the TOEFL iBT.
Watch John Healy analyze SpeechRater data inside a real My Speaking Score account.
SpeechRater™ is designed to align closely with the TOEFL Speaking rubrics used by human raters, focusing primarily on the scoring constructs of Delivery and Language Use.
By analyzing specific, measurable features like fluency, pronunciation, grammar, and vocabulary, SpeechRater provides detailed, objective insights that explain your overall score on a 4-point scale.
While SpeechRater includes measures of Discourse Coherence to assess logical flow, aspects of Topic Development—such as idea relevance and content depth—are better evaluated by trained human raters.
SpeechRater™ delivers precise, consistent analysis of measurable features such as fluency, vocabulary, and grammar, providing objective insights that pinpoint areas for improvement. While human raters excel at evaluating idea development and nuanced content, SpeechRater offers actionable, data-driven feedback that empowers test-takers to enhance their TOEFL Speaking performance with clarity and focus.
ETS's SpeechRater™ is the most powerful tool in the world for improving TOEFL Speaking performance. By learning how to interpret and act on its feedback, students, teachers, and researchers can make the most of its AI-driven insights.
SpeechRater instantly identifies strengths and pinpoints weaknesses in TOEFL Speaking responses. Here's how you can use SpeechRater:
SpeechRater offers data-driven insights that can transform how educators guide students to TOEFL Speaking success.
SpeechRater can be a valuable resource for advancing research in second-language acquisition and automated scoring.
SpeechRater™ is a versatile tool that provides actionable insights for test-takers, personalized guidance for teachers, and valuable data for researchers. By using it strategically—targeting specific metrics, tracking progress, and combining AI feedback with human judgment—you can unlock its full potential for improving TOEFL Speaking performance and advancing language assessment research.
User X, a Chinese-speaking test-taker, initially struggled with pacing, fluency, and grammatical accuracy, resulting in a lower SpeechRater™ score. Through targeted practice and focused improvements, User X made significant gains, achieving a higher level of fluency, coherence, and language use.
Here is a closer look at their before-and-after journey, showcasing the transformation in both the content and quality of their TOEFL Speaking responses.
SpeechRater™ Score: 2.31
TOEFL Speaking Score: 17
Transcript 1:
“The reading passage defines maladaptive daydreaming as spending too much time thinking about, uh, dreaming. Uh, the professor explains this by example of a friend. Her friend used to, uh, spend too much time daydreaming and she is, uh, often lost in her dreams. She feels happy, and, uh, also sad sometimes, uh, for hours. And the professor said that this happens to children, uh, who are bored, or uh, have trauma when they are young. And, uh, this is what maladaptive daydreaming is.”
Key Challenges:
SpeechRater™ Score: 3.41
TOEFL Speaking Score: 26
Transcript 2:
“The reading passage introduces maladaptive daydreaming, which means spending too much time imagining things. The professor gives an example of a woman she knows. This woman would often spend her entire day dreaming about a world that is not real. She felt happy and sad at the same time, but she forgot to focus on important parts of her life, like her relationships, career, and responsibilities. The professor explains that dreaming itself is healthy because it allows people to take a break and relax. However, when it becomes obsessive and people cannot control it, it can stop them from achieving their goals and living a productive life. The professor says this issue often happens to children who are bored, sad, or experienced trauma when they were young. These children escape into their imaginations instead of dealing with their real lives. The professor explains that it is important to find a balance between healthy dreaming and staying grounded in reality.”
Key Improvements:
Speaking Rate
Pausing
Grammar
Vocabulary Diversity
Discourse Coherence
SpeechRater™ represents a significant advancement in the field of automated language assessment, offering precision, speed, and objectivity that complement traditional human scoring. Understanding its role in the broader context of language testing, including its comparison to other systems and the ethical considerations it raises, helps us appreciate both its strengths and limitations.
SpeechRater™ plays a crucial role in modern language testing, especially for high-stakes assessments like the TOEFL iBT. By analyzing fluency, pronunciation, grammar, and vocabulary with AI-driven accuracy, it provides a fast, reliable evaluation that aligns with human scoring rubrics.
Comparison to Other Automated Scoring Systems
The Future of AI in Language Testing
AI-driven systems like SpeechRater are shaping the future of language assessment by:
Looking forward, AI in language testing will likely evolve to assess not only measurable metrics like fluency and grammar but also nuanced features such as tone, cultural appropriateness, and critical thinking. Combining human expertise with AI precision will lead to a more holistic approach to evaluation.
While SpeechRater™ offers undeniable benefits, it also raises important ethical considerations that need to be addressed as automated scoring continues to evolve.
1. Fairness and Bias in Automated Scoring
AI systems, including SpeechRater, are trained on large datasets. However, these datasets may reflect biases in language patterns, accents, or demographics. For instance:
Ensuring fairness requires ongoing evaluation, rebalancing of training data, and transparency in how scoring models are developed. ETS and platforms like My Speaking Score play a key role in addressing these issues to make automated scoring equitable for all test-takers.
2. Privacy Concerns with SpeechRater Usage
Automated scoring relies on recording and analyzing speech data, which raises questions about data security and user privacy:
To protect users, platforms that leverage SpeechRater (like My Speaking Score) must prioritize data encryption, limited access policies, and clear communication with users about how their data will be used.
SpeechRater™ has revolutionized language assessment by offering fast, objective, and detailed scoring that aligns with human rubrics. Compared to other systems like Duolingo or PTE Academic, it stands out for its granular feedback and strong alignment with TOEFL standards.
However, as with any AI-driven technology, ethical concerns around fairness and privacy must be addressed to ensure its continued reliability and trustworthiness. As the future of language testing evolves, SpeechRater serves as both a benchmark and a foundation for the next generation of AI-powered assessments.
SpeechRater™ is an AI-powered scoring engine developed by ETS to evaluate TOEFL Speaking responses. It analyzes measurable features of speech, such as fluency, pronunciation, grammar, and vocabulary, providing a detailed breakdown of performance across 12 dimensions.
How it differs from human scoring:
However, while SpeechRater excels at evaluating measurable features, human raters are better equipped to assess nuanced aspects like content relevance, creativity, and depth of ideas, particularly in Topic Development.
Yes, SpeechRater can provide a highly accurate estimate of your TOEFL Speaking score. It aligns closely with the official TOEFL Speaking rubrics used by human raters, offering an overall score on a 4-point scale that mirrors TOEFL scoring standards.
However, SpeechRater is designed to measure Delivery (fluency and pronunciation) and Language Use (grammar and vocabulary) with high precision. While it gives insights into your performance, aspects like Topic Development—which contribute to the final TOEFL score—are still better evaluated by human raters.
By combining SpeechRater scores with human feedback, you can get the most accurate prediction of your TOEFL Speaking performance.
To improve your SpeechRater scores, focus on targeted practice and watch your progress in key metrics. For example:
Consistent, deliberate practice that targets one metric at a time will help you make measurable improvements.
While SpeechRater™ is a powerful tool for evaluating speaking performance, it does have limitations:
To overcome these limitations, it’s best to combine SpeechRater feedback with human evaluation. Use SpeechRater to improve measurable features like fluency, pronunciation, and vocabulary. Use a feedback tool like My Speaking Score to get AI insights into hard-to-measure aspects of your TOEFL Speaking responses like Topic Development.
SpeechRater™ is an essential tool for predicting your TOEFL Speaking score and improving specific performance metrics. By understanding its strengths and limitations, and using its feedback strategically, you can make targeted improvements and maximize your TOEFL success.
SpeechRater™ represents the forefront of AI-driven language assessment, but its evolution is far from complete. As advancements in artificial intelligence and machine learning continue, SpeechRater will become even more refined, capable of evaluating increasingly nuanced aspects of speech.
Future iterations may integrate deeper analysis of content quality, idea relevance, and critical thinking, providing even more holistic feedback. These improvements will further align automated scoring with human evaluations, transforming how language proficiency is measured worldwide.
For Students: Use SpeechRater™ insights to take control of your TOEFL preparation. By targeting specific metrics—like fluency, pronunciation, grammar, and vocabulary—you can turn data into actionable progress. Consistent practice and focused improvement will help you achieve your target TOEFL Speaking score with confidence.
For Educators and Researchers: Leverage SpeechRater™ as a transformative tool in language assessment. Use its precise, data-driven feedback to guide students, develop personalized lesson plans, and conduct research on second-language acquisition. Combining SpeechRater's insights with human judgment ensures a well-rounded, reliable approach to evaluating spoken language.
The future of SpeechRater™ is a future of precision, accessibility, and progress—empowering test-takers, educators, and researchers alike to reach new heights in language learning and assessment.