Speechace
  • Introduction
    • Overview
    • Use-Cases
  • Getting Started
    • Pre-requisites
      • API Features
      • Getting the API Key
      • API Regions and endpoints
      • API Limits
    • API Samples
    • Supported Languages
    • API Versioning
    • Authentication
    • Try the Speechace API
    • Error Handling
      • Common Errors
      • Retry Strategies
  • Solutions
    • Speaking Practice for Language Learning
    • Automated Language Assessment with AI
    • Voice AI for Early Literacy
    • Test Prep for Standardized tests
      • PTE Speaking Questions
      • IELTS Speaking Questions
      • TOEFL Speaking Questions
      • CEFR Speaking Questions
      • TOEIC Speaking Questions
    • Speaking Practice in Spanish and French
  • Features
    • Introduction
    • Scripted activities
      • Pronunciation Scoring
        • Word and Sentence pronunciation
        • Multiple choice
        • Custom pronunciations
        • Phoneme list
      • Fluency scoring
        • Passage scoring
      • Lexical stress and intonation
    • Spontaneous activities
      • Open-ended scoring
        • Language scoring
        • Relevance scoring
        • Language detection
      • Task achievement scoring
        • Describe Image
        • Re-tell Lecture
        • Answer Question
  • API Reference
    • Postman API reference
    • Score Text/Pronunciation
      • Handling overall scores
      • Handling word scores
      • Handling phoneme and syllable scores
    • Score Text/Multiple choice
      • Handling multiple choice response
    • Score Text/Markup Language
      • Handling Markup Response
    • Score Text/Stress & Intonation
      • Handing stress and intonation response
    • Score Text/Phoneme list
      • Handling phoneme list response
    • Score Text/Fluency
      • Handling fluency response
      • Fidelity detection
    • Score Text/Validate Text
    • Score Speech/Open-ended
      • Handling language scores
      • Per metric feedback
        • Grammar metrics
        • Vocabulary metrics
        • Coherence metrics
    • Score Speech/Relevance
      • Handling relevance response
    • Score Speech/Language Detection
    • Score Task/Task Achievement
  • Guides on common topics
    • Intepreting quality score
    • Interpreting overall scores
      • Pronunciation Bands
      • Fluency Bands
      • Vocabulary Bands
      • Grammar Bands
      • Coherence Bands
    • Scoring rubrics
    • Interpreting fidelity class
    • Phonetic notation
      • US English (en-us)
      • UK English (en-gb)
      • French (fr-fr, fr-ca)
      • Spanish (es-es, es-mx)
    • Getting word timestamps in audio
    • Automatic handling of unknown words
    • Phoneme to letter mapping
    • Markup Language
  • Other Resources
    • Requesting Support
    • Rate Limiting
    • Data Retention
    • FAQs
    • Appendices
Powered by GitBook
On this page
  1. Features
  2. Spontaneous activities

Task achievement scoring

This API is only available by invitation. Please email contact@speechace.com to request access.

The Speechace task achievement scoring API assesses the completeness and comprehensiveness of the user's response, ensuring that the user not only understood the question prompt but also communicated a clear, cohesive and accurate answer. As an example, when a speaker is tasked with analyzing conclusions from a business chart, it’s crucial to assess not only if the user's response is on-topic but also how correctly the key learnings from the business chart were described.

In addition to providing a task achievement score, this API also provides language scores available under the open-ended scoring API, including pronunciation, fluency, vocabulary, grammar, and coherence.

Note that the Task score is independent of language scores. To receive a high task score, the speaker must comprehend the question fully and provide a response that addresses every aspect of the question. Also, note that the task score is continuous and therefore a partial response receives a partial score.

While the task achievement technology can score a range of different tasks, we have tried to create a few well defined classes of tasks that are most likely to be used by developers. These classes are:

  • Describe-Image: The speaker is presented with an image and asked to describe the details, relationships, and conclusion to be drawn from elements of the image. The task score of this type is on the scale of 0-5.

  • Retell-Lecture: The speaker listens to a 1-2 minute lecture and is asked to summarize the lecture focusing on key elements, concepts and conclusions from the lecture. The task score of this type is on the scale of 0-5.

  • Answer-Question: The speaker is presented with a short question which typically requires a one or two word answer. The task score of this type is either 0 or 1.

These classes of tasks are very useful in mocking PTE practice assessments. In the next few sections we will look at these task-types in detail.

PreviousLanguage detectionNextDescribe Image

Last updated 6 months ago