> For the complete documentation index, see [llms.txt](https://api-docs.speechace.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://api-docs.speechace.com/api-reference/score-text-stress-and-intonation.md).

# Score Text/Stress & Intonation

{% hint style="info" %}
**Run in Postman:** [Score Lexical Stress and Intonation](https://docs.speechace.com/#cb64e480-d7cd-408c-b34e-a5221292eac7)
{% endhint %}

If the `include_intonation=1` parameter is included in the request body for [Score Text/Pronunciation](/api-reference/score-text-pronunciation.md), then the API result will include lexical and intonation metrics. In this example, lexical (word) stress and intonation (text stress) are evaluated in a given passage.

{% tabs %}
{% tab title="cURL" %}
{% code overflow="wrap" lineNumbers="true" %}

```curl
curl --location -g 'https://api.speechace.co/api/scoring/text/v9/json?key={{speechacekey}}&dialect=en-us' \
--form 'text="Some parents admire famous athletes as strong role models, so they name their children after them."' \
--form 'user_audio_file=@"someparents.wav"' \
--form 'include_intonation="1"'
```

{% endcode %}
{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="200: OK Lexical Stress and Intonation" %}
{% code lineNumbers="true" %}

```json
{
  "status": "success",
  "quota_remaining": -1,
  "text_score": {
    "text": "Some parents admire famous athletes as strong role models, so they name their children after them.",
    "word_score_list": [
    {<...pronunciation metrices for other words>},
    {
        "word": "parents",
        "quality_score": 99,
        "phone_score_list": [
          {
            "phone": "p",
            "stress_level": null,
            "extent": [
              42,
              51
            ],
            "quality_score": 100,
            "sound_most_like": "p"
          },
          {
            "phone": "eh",
            "stress_level": 1,
            "extent": [
              51,
              57
            ],
            "quality_score": 100,
            "stress_score": 100,
            "predicted_stress_level": 1,
            "sound_most_like": "eh"
          },
          {
            "phone": "r",
            "stress_level": null,
            "extent": [
              57,
              66
            ],
            "quality_score": 100,
            "sound_most_like": "r"
          },
          {
            "phone": "ah",
            "stress_level": 0,
            "extent": [
              66,
              69
            ],
            "quality_score": 100,
            "stress_score": 100,
            "predicted_stress_level": 0,
            "sound_most_like": "ah"
          },
          {
            "phone": "n",
            "stress_level": null,
            "extent": [
              69,
              75
            ],
            "quality_score": 100,
            "sound_most_like": "n"
          },
          {
            "phone": "t",
            "stress_level": null,
            "extent": [
              75,
              76
            ],
            "quality_score": 94,
            "sound_most_like": "t"
          },
          {
            "phone": "s",
            "stress_level": null,
            "extent": [
              76,
              84
            ],
            "quality_score": 99.25,
            "sound_most_like": "s"
          }
        ],
        "syllable_score_list": [
          {
            "phone_count": 2,
            "stress_level": 1,
            "letters": "pa",
            "quality_score": 100,
            "stress_score": 100,
            "intonation": [
              null,
              "FALL"
            ],
            "pitch_range": [
              226.71435643564357,
              211.65643564356435
            ],
            "predicted_stress_level": 1,
            "extent": [
              42,
              57
            ]
          },
          {
            "phone_count": 5,
            "stress_level": 0,
            "letters": "rents",
            "quality_score": 99,
            "stress_score": 100,
            "intonation": [
              null,
              "FALL"
            ],
            "pitch_range": [
              211.65643564356435,
              184.5521782178218
            ],
            "predicted_stress_level": 0,
            "extent": [
              57,
              84
            ]
          }
        ]
      },
      {<...pronunciation metrices for other words>},
      ],
    "word_intonation_list": [
      {
        "word": "Some",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "parents",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ],
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "admire",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ],
          [
            null,
            "FALL"
          ],
          [
            "FALL",
            "RISE"
          ]
        ]
      },
      {
        "word": "famous",
        "syllable_intonation_list": [
          [
            null,
            "RISE"
          ],
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "athletes",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ],
          [
            "RISE",
            "FALL"
          ]
        ]
      },
      {
        "word": "as",
        "syllable_intonation_list": [
          [
            "RISE",
            "FALL"
          ]
        ]
      },
      {
        "word": "strong",
        "syllable_intonation_list": [
          [
            null,
            "RISE"
          ]
        ]
      },
      {
        "word": "role",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "models",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ],
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "so",
        "syllable_intonation_list": [
          [
            null,
            "RISE"
          ]
        ]
      },
      {
        "word": "they",
        "syllable_intonation_list": [
          [
            null,
            "RISE"
          ]
        ]
      },
      {
        "word": "name",
        "syllable_intonation_list": [
          [
            "RISE",
            "FALL"
          ]
        ]
      },
      {
        "word": "their",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "children",
        "syllable_intonation_list": [
          [
            "RISE",
            "FALL"
          ],
          [
            null,
            "RISE"
          ]
        ]
      },
      {
        "word": "after",
        "syllable_intonation_list": [
          [
            "FALL",
            "RISE"
          ],
          [
            null,
            "FALL"
          ]
        ]
      },
      {
        "word": "them",
        "syllable_intonation_list": [
          [
            null,
            "FALL"
          ]
        ]
      }
    ],
    "ielts_score": {
      "pronunciation": 9
    },
    "pte_score": {
      "pronunciation": 89
    },
    "speechace_score": {
      "pronunciation": 99
    }
  },
  "version": "9.0"
}
```

{% endcode %}
{% endtab %}
{% endtabs %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://api-docs.speechace.com/api-reference/score-text-stress-and-intonation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.