SpeechRater: The Ultimate Guide

Unlock the Power of SpeechRater™ to Transform Your TOEFL Speaking Prep

Take a free TOEFL Speaking testThis image illustrates the key SpeechRater™ dimensions grouped into Delivery (Fluency and Pronunciation), Language Use (Vocabulary and Grammar), and Topic Development. Each dimension includes its impact level (Strong, Very Strong, or Moderate) and the corresponding target score needed to excel in the TOEFL Speaking section.
SpeechRater™ Dimensions and Target Scores

1. Introduction

What is SpeechRater™?

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.

Why This Guide?

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.

5-Minutes Well-Spent

Invest 5-minutes of your time to reading this guide so you will:

  • Understand. Gain a clear understanding of how SpeechRater works, including its features, metrics, and scoring mechanisms.
  • Say Aha. Get practical strategies to interpret SpeechRater feedback and use it to improve your TOEFL Speaking performance.
  • Think. Consider SpeechRater’s broader implications in education, research, and the future of AI-driven assessments.

2. How SpeechRater™ Works

The Tech Behind SpeechRater™

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.

  • Acoustic Features: These include aspects such as pronunciation, rhythm, and speaking rate. SpeechRater measures how well you articulate sounds and how smoothly and fluently you deliver your response.
  • Linguistic Features: SpeechRater assesses grammar and vocabulary to evaluate your ability to construct accurate, meaningful, and varied sentences.
  • Discourse Coherence: While SpeechRater does not fully analyze the relevance or depth of your ideas, it does measure the logical flow and connectedness o your response.

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 Metrics and TOEFL Speaking Rubrics

SpeechRater’s metrics are closely aligned with the three main constructs of the TOEFL Speaking rubrics:

  1. Delivery: Fluency, pronunciation, and speaking speed are evaluated to measure smooth and clear speech.
  2. Language Use: Grammar and vocabulary are assessed for accuracy, range, and appropriateness.
  3. Topic Development: Logical organization and progression of ideas are considered, although this aspect is better handled by human raters.

SpeechRater effectively mirrors the core competencies required by TOEFL Speaking rubrics, making it a powerful and reliable tool for both practice and evaluation.

Strengths and Limitations

Strengths:

  • Consistency: SpeechRater ensures objective scoring by eliminating the variability inherent in human judgments.
  • Speed and Scalability: SpeechRater delivers instant feedback, so you can identify and address weaknesses quickly.
  • Detailed Metrics: SpeechRater provides in-depth feedback on delivery and language use, which are critical to TOEFL success.

Limitations:

  • Topic Development: While SpeechRater assesses fluency and linguistic features well, human raters still remain best equipped to evaluate higher-order discourse skills like relevance, logical progression, and content depth.
  • Nuance in Responses: Subtle expressions of creativity, tone, or cultural context are areas where human insight is invaluable.

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.

3. SpeechRater™ Metrics

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.

1. Delivery

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:

  • Speaking Rate: Measures how fast you speak in words per second. A balanced rate improves clarity and engagement.
  • Sustained Speech: Evaluates how well you maintain continuous speech without unnecessary pauses or interruptions.
  • Pause Frequency: Counts the number of pauses in your response. Fewer pauses often mean smoother, more natural delivery.
  • Distribution of Pauses: Assesses where pauses occur, favouring natural breaks at sentence or idea boundaries.
  • Repetitions: Counts the frequency of (needlessly) repeated words or phrases.
  • Rhythm: Measures cadence and stress patterns in your speech, which affect how engaging and clear it sounds.
  • Vowels: Evaluates the clarity and accuracy of vowel sounds, which is key to being easily understood.

2. Language Use

The Language Use feature evaluates grammar and vocabulary.

My Speaking Score provides the following SpeechRater metrics that align with the the Language Use construct:

  • Vocabulary Depth: Assesses how precise and appropriate your word choices are for the context.
  • Vocabulary Diversity: Measures the variety of unique words in your response. A higher score indicates more effective and varied word usage.
  • Grammatical Accuracy: Evaluates how correct your grammar is, including tenses and syntax. Fewer errors improve clarity.
  • Grammatical Complexity: Measures the use of advanced, well-structured sentences to show proficiency.

3. Topic Development

The Topic Development feature evaluates response connectedness.

My Speaking Score provides the following SpeechRater metric that aligns with the the Topic Development construct:

  • Discourse Coherence: This evaluates how logically your ideas flow and connect throughout the response.

TL;DR

My Speaking Score presents SpeechRater metrics in various visualizations so they align closely with the TOEFL Speaking rubric:

  • Delivery: Focus on smooth, fluent speech with clear pronunciation and natural pauses.
  • Language Use: Develop accurate, varied vocabulary and strong grammatical control.
  • Topic Development: Organize ideas logically and ensure your response flows naturally.

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.

4. SpeechRater™ and the TOEFL Rubrics

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.

How SpeechRater Aligns with the TOEFL Speaking Rubrics

  1. Delivery
    The Delivery category evaluates the clarity, fluency, and intelligibility of your response.
    • What SpeechRater Measures:
      • Speaking Rate: Measures how quickly you speak in words per second.
      • Sustained Speech: Evaluates the ability to speak continuously without unnecessary pauses.
      • Pause Frequency and Distribution of Pauses: Evaluates the number and placement of pauses.
      • Repetitions: Counts how often words or phrases are unnecessarily repeated in a response.
      • Rhythm: Assesses syllable stress patterns and cadence to ensure engaging, natural speech.
      • Vowels: Analyzes vowel clarity and pronunciation accuracy for intelligibility.
    • What Human Raters Add:
      • Subtle aspects of intonation and natural expressiveness that might not be fully captured by AI.
  2. Language Use
    The Language Use category assesses your command of grammar, sentence variety, and vocabulary.
    • What SpeechRater Measures:
      • Vocabulary Depth: Evaluates the precision and appropriateness of word choice.
      • Vocabulary Diversity: Measures the variety of unique words used effectively.
      • Grammatical Accuracy: Tracks errors in tense, syntax, and structure.
      • Grammatical Complexity: Measures the sophistication and variety of sentence structures.
    • What Human Raters Add:
      • Contextual interpretation of word choice or grammar that AI may overlook, especially in nuanced or complex responses.
  3. Topic Development
    The Topic Development category focuses on the progression, coherence, and completeness of your ideas.
    • What SpeechRater Measures:
      • Discourse Coherence: Evaluates how well ideas are logically connected and flow naturally.
    • What Human Raters Add:
      • Assessing whether ideas are relevant, fully developed, and sufficiently elaborate.
      • Evaluating content for deeper connections and overall task fulfillment.

TL;DR

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.

5. How to Use SpeechRater™ Effectively

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.

For Students

SpeechRater instantly identifies strengths and pinpoints weaknesses in TOEFL Speaking responses. Here's how you can use SpeechRater:

  1. Record and Score Responses:
    • Practice with TOEFL Speaking task materials.
    • Record your responses on a platform like My Speaking Score to get instant, data-driven feedback from SpeechRater, including estimated section scores, task scores, and dimension scores.
  2. Interpret Feedback:
    SpeechRater provides sub-scores for dimensions under the Delivery, Language Use, and Topic Development constructs:
    • Delivery: Focus on improving speaking rate, rhythm, and pronunciation clarity. Address pauses, repetitions, and hesitations to ensure smooth, sustained speech.
    • Language Use: Work on expanding vocabulary, reducing errors, and increasing sentence complexity.
    • Topic Development: Structure responses logically so they contain all necessary information from the task inputs.
  3. Practice:
    • Target One Metric at a Time: Don’t try to fix everything at once. For example:
      • Focus on increasing your Pause Frequency score during one practice session.
      • Work on increasing your Vocabulary Diversity score in another.
    • Track Your Progress: Submit responses weekly and compare scores over time to measure improvement.
    • Use Feedback for Precision: If you scored low in Grammatical Accuracy, practice forming correct sentences. For low scores in Speaking Rate, practice speaking steadily at around 150 words per minute.

For Teachers

SpeechRater offers data-driven insights that can transform how educators guide students to TOEFL Speaking success.

  1. Use SpeechRater Data to Guide Students:
    • Review SpeechRater scores for each metric to identify specific areas for improvement.
    • Create personalized lesson plans:
      • For a student struggling with fluency, focus on sustained speech and reducing pauses.
      • For a student with low Vocabulary Diversity, introduce exercises for paraphrasing and using synonyms.
  2. Combine AI Insights with Your Own Feedback:
    • Use SpeechRater’s objective scores as a baseline for improvement.
    • Provide human feedback on areas like Topic Development and content depth, which SpeechRater may not evaluate as reliably.
    • Track student progress over time by comparing past and current scores across specific dimensions.

For Academics

SpeechRater can be a valuable resource for advancing research in second-language acquisition and automated scoring.

  1. Second-Language Acquisition:
    • Analyze SpeechRater’s granular data (e.g., fluency metrics, grammatical complexity) to study how learners progress over time.
    • Use percentile scores to compare performance across different proficiency levels.
  2. Limitations for Academic Research:
    • While SpeechRater is excellent for analyzing measurable aspects of speech, it may not fully capture content quality, creativity, or idea development, which require human evaluation.
    • Researchers should combine SpeechRater scores with qualitative assessments for a comprehensive analysis.

TL;DR

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.

Case Study: User X – A Chinese Speaker’s Journey to TOEFL Speaking Success

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.

Before Improvement

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:

  • Speaking Rate: Slow, with long pauses and frequent use of “uh.”
  • Grammar and Sentence Structure: Simple sentences with errors (“example of a friend,” “she is often lost”).
  • Vocabulary Use: Repetitive words like “daydreaming” and “uh,” lacking diversity.
  • Response Structure: Ideas feel disconnected and repetitive, with no smooth transitions.

After Improvement

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: Dramatically improved to a natural, fluent pace with fewer hesitations.
  • Grammar and Sentence Structure: More complex and accurate sentences with fewer errors.
  • Vocabulary Use: Improved variety of words (“imagining,” “obsessive,” “achieving goals”), showing stronger precision and range.
  • Response Structure: Ideas are connected logically, with clear transitions and a smoother progression of thoughts.
Before and After image of a TOEFL Speaking test-taker's SpeechRater data showing dramatic improvement.

Baseline vs. After 17 hours of Practice

Speaking Rate

  • Before: 10th percentile – Slow and hesitant.
  • After: 99th percentile – Natural and steady. 

Pausing

  • Before: Frequent pauses that disrupted the flow of speech.
  • After: Fewer pauses overall, but pause placement still needs improvement (e.g. DP: from 17 to 37), as some pauses are not occurring at natural sentence or idea boundaries.

Grammar

  • Before: Errors in basic sentence structure.
  • After: More accurate and complex grammar.

Vocabulary Diversity

  • Before: Limited and repetitive word choice.
  • After: Improved variety and precision, with a broader range of vocabulary (e.g. VDi: from 7 to 64) used effectively.

Discourse Coherence

  • Before: Ideas were disconnected and repetitive.
  • After: Ideas flow logically and smoothly, creating a more cohesive response (e.g. DC from 3 to 40).

6. SpeechRater™ in Context: Academic and Industry Perspectives

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.

Role in Language Assessment

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

  • Duolingo English Test: Duolingo uses AI for scoring, similar to SpeechRater™, but focuses on a shorter, adaptive format with integrated speaking tasks. While Duolingo provides a fast and accessible option for general language proficiency, it lacks the detailed breakdown of specific metrics that SpeechRater offers.
  • PTE Academic: The Pearson Test of English also uses automated scoring to evaluate speaking responses, including fluency and pronunciation. However, its scoring model is less transparent than SpeechRater’s feedback, which provides detailed insights into multiple dimensions of speaking performance (e.g., pause frequency, grammatical complexity).

The Future of AI in Language Testing


AI-driven systems like SpeechRater are shaping the future of language assessment by:

  • Improving Accessibility: Automated scoring allows language testing to be faster, more cost-effective, and scalable for learners worldwide.
  • Driving Objectivity: AI eliminates the subjectivity of human raters, ensuring more consistent scores.
  • Enabling Granular Feedback: Systems like SpeechRater give learners actionable insights into specific aspects of their performance, making it easier to target weaknesses.

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.

Ethical Considerations

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:

  • Speakers with strong regional accents may receive lower pronunciation scores.
  • Non-native speakers from certain linguistic backgrounds might face challenges that are not fully accounted for in the scoring model.

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:

  • How is speech data stored, and for how long?
  • Who has access to the data?
  • Can data be used for purposes beyond scoring?

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.

TL;DR

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.

7. Frequently Asked Questions

1. What is SpeechRater™, and how does it differ from human scoring?

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:

  • Objectivity: SpeechRater eliminates human subjectivity, ensuring consistent scores for all responses.
  • Speed: Results are delivered instantly, allowing test-takers to get quick feedback.
  • Granularity: It provides precise scores for fluency, vocabulary diversity, and grammar that help pinpoint specific areas for improvement.

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.

2. Can SpeechRater™ predict my actual TOEFL Speaking score?

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.

3. How can I improve specific metrics like fluency or vocabulary diversity?

To improve your SpeechRater scores, focus on targeted practice and watch your progress in key metrics. For example:

  • Delivery (Speaking Rate, Pause Frequency, Sustained Speech):
    • Practice speaking for 45–60 seconds without pausing or hesitating.
    • Record yourself answering TOEFL-like prompts and aim to reduce pauses while maintaining a steady pace (150 words per minute).
    • Use shadowing techniques: repeat sentences spoken by native speakers to mimic natural pacing; use model responses (e.g. on My Speaking Score).
  • Language Use (Vocabulary Diversity):
    • Avoid repeating words by expanding your vocabulary with synonyms.
    • Practice paraphrasing ideas to use a variety of words for similar concepts.
    • Use tools like word lists or vocabulary apps to learn and incorporate new words into your responses.
  • Language Use (Grammatical Accuracy):
    • Focus on forming correct sentences by identifying and fixing common grammar mistakes.
    • Use simple and accurate sentences before adding complexity.
    • Record responses and review them for errors in tense, subject-verb agreement, or sentence structure.

Consistent, deliberate practice that targets one metric at a time will help you make measurable improvements.

4. What are SpeechRater's limitations?

While SpeechRater™ is a powerful tool for evaluating speaking performance, it does have limitations:

  • Content Evaluation: SpeechRater does not assess whether your ideas are relevant, complete, or logically organized—key aspects of Topic Development.
  • Nuance and Expression: Human raters can interpret tone, subtle expressions, and creativity in speech, which SpeechRater cannot fully capture.
  • Accent Bias: Although SpeechRater is trained on diverse accents, some speakers with strong regional or non-standard pronunciations may receive slightly lower scores in pronunciation metrics.

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.

TL;DR

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.

Conclusion: The Future of SpeechRater™

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.

Call to Action

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.