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
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  1. API Reference
  2. Score Speech/Open-ended

Handling language scores

PreviousScore Speech/Open-endedNextPer metric feedback

Last updated 6 months ago

Language scores are derived from transcribing free speaking audio and scoring the response in key aspects such as:

These overall scores help the test creator assess the overall quality of the response in terms of five different :

  • A speechace_score on a scale of 0 to 100

  • An ielts_score on a standard IELTS scale of 0 to 9.0

  • A pte_score on a standard PTE scale or 10 to 90

  • A cefr_score on a standard scale of A0 to C2

  • A toeic_score on a standard scale of 0 to 200

The following example snippet from the API results demonstrates the overall scores:

{
  "status": "success",
  "speech_score":
  {
    "transcript": "But the residents have felt the strain, they to launched a healthy streets program, opening up, select streets to just walking and cycling. Now, this action proved valuable in helping residents life and broaden the benefit of their tax dollars. That typically pay to serve cars. New designs were implemented on South Congress. The iconic Main Street of Texas, Inn, Downtown Austin, the stretch of road has changed character overtime evolve e with advances in technology Civic priorities or public preferences with City council's Direction. This stretch of road now has just two fewer Lanes of car traffic. A third of the street space was given over to people bicycling and rolling on scooters. Taking them off the busy sidewalks better suited for dining under the oak trees and give them increased comfort and safety.",
    "relevance": { "class": "TRUE" },
    "ielts_score":
    {
        "pronunciation": 8.5,
        "fluency": 9,
        "grammar": 8.5,
        "coherence": 9,
        "vocab": 9,
        "overall": 9
    },
    "pte_score":
    {
        "pronunciation": 86,
        "fluency": 87,
        "grammar": 86,
        "coherence": 90,
        "vocab": 89,
        "overall": 87
    },
    "speechace_score": 
    {
        "pronunciation": 97,
        "fluency": 98,
        "grammar": 97,
        "coherence": 100,
        "vocab": 99,
        "overall": 98
    },
    "toeic_score":
    {
        "pronunciation": 190,
        "fluency": 200,
        "grammar": 190,
        "coherence": 200,
        "vocab": 200,
        "overall": 200
    },
    "cefr_score": 
    {
        "pronunciation": "C2",
        "fluency": "C2",
        "grammar": "C2",
        "coherence": "C2",
        "vocab": "C2",
        "overall": "C2"
    }
     ...
  }
}
Fluency
Pronunciation
Grammar
Vocabulary
Coherence
rubrics