NESHSEC Status

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Agent state

FieldValue
Study ID69a4571f9c16323be5f0c2ec
Study statusclosed
Submissions received0
Submissions forwarded308
Last assigned paragraph9

Prolific study

FieldValue
Submission count2
Study statusCOMPLETED
Study nameEnglish Pronunciation Recording Study
Raw study JSON
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          },
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            "description": "Return plain unannotated paragraph text for a given paragraph_id.",
            "requiredParams": [
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            ]
          },
          "pronunciation.evaluate": {
            "description": "Evaluate a 16kHz mono WAV against paragraph_id or paragraph_text.",
            "optionalParams": [
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              "paragraph_text",
              "native_exemplar",
              "deepgram_api_key"
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            "requiredParams": [
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            ]
          }
        }
      },
      "defaultInputModes": [
        "audio/wav",
        "application/json"
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      "defaultOutputModes": [
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      "description": "Evaluates noun/verb stress-shift pronunciation from WAV audio and paragraph context.",
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    "lastAssignedParagraphId": 9
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      "description": "<p>You will read two short English paragraphs aloud while record your speech. The task takes approximately three minutes. Speak naturally, but please make sure you are pronouncing the several two syllable noun/verb homographs which appear in their correct sense; e.g. &quot;REC-ord&quot; for the noun and &quot;re-CORD&quot; for the verb. Please try to keep background noise to a minimum.</p>",
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}

Backend

Name: Syllable Stress Evaluator

Version: 0.5.0

Description: Evaluates noun/verb stress-shift pronunciation from WAV audio and paragraph context.

Available methods

MethodDescription
agent.aboutReturn model card metadata and runtime request_id.
paragraphs.countReturn the number of configured practice paragraphs.
paragraphs.get_textReturn plain unannotated paragraph text for a given paragraph_id.
pronunciation.evaluateEvaluate a 16kHz mono WAV against paragraph_id or paragraph_text.
Raw convergence JSON
{
  "capabilities": {
    "jsonrpcEndpoint": "http://guildaidemo.talknicer.com/a2a",
    "methods": {
      "agent.about": {
        "description": "Return model card metadata and runtime request_id."
      },
      "paragraphs.count": {
        "description": "Return the number of configured practice paragraphs."
      },
      "paragraphs.get_text": {
        "description": "Return plain unannotated paragraph text for a given paragraph_id.",
        "requiredParams": [
          "paragraph_id"
        ]
      },
      "pronunciation.evaluate": {
        "description": "Evaluate a 16kHz mono WAV against paragraph_id or paragraph_text.",
        "optionalParams": [
          "paragraph_id",
          "paragraph_text",
          "native_exemplar",
          "deepgram_api_key"
        ],
        "requiredParams": [
          "audio_wav_base64"
        ]
      }
    }
  },
  "defaultInputModes": [
    "audio/wav",
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "description": "Evaluates noun/verb stress-shift pronunciation from WAV audio and paragraph context.",
  "documentationUrl": "http://guildaidemo.talknicer.com/",
  "name": "Syllable Stress Evaluator",
  "protocolVersion": "0.5.0",
  "request_id": "4e9dd4a1-4867-44d9-94a9-7e868095e296",
  "skills": [
    {
      "description": "Evaluate syllable stress for annotated noun/verb targets using 16kHz mono WAV.",
      "name": "pronunciation.evaluate"
    }
  ],
  "url": "http://guildaidemo.talknicer.com",
  "version": "0.5.0"
}

Launch study | Close study | Test recording page