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Score Scripted Recording with Speechace API

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Score Scripted Recording with the Speechace API
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Getting Started

Create a workflow to Score Scripted Recording with the Speechace API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Score Scripted Recording action
    1. Connect your Speechace account
    2. Configure File Path or URL
    3. Configure Text
    4. Optional- Configure Question Info
    5. Optional- Select a Dialect
    6. Optional- Configure User ID
    7. Optional- Configure syncDir
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Score Scripted Recording with Speechace API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + Speechace
 
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Score Scripted Recording with Speechace API on New Submission from Typeform API
Typeform + Speechace
 
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Score Scripted Recording with Speechace API on New Submission (Instant) from Jotform API
Jotform + Speechace
 
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Score Scripted Recording with Speechace API on New Scheduled Tasks from Pipedream API
Pipedream + Speechace
 
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Score Scripted Recording with Speechace API on npm Download Counts from npm API
npm + Speechace
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Score Scripted Recording on Speechace
Description:Scores a scripted recording based on fluency and pronunciation. [See the documentation](https://docs.speechace.com/#c34b11dd-8172-441a-bc27-223339d48d8e)
Version:0.0.3
Key:speechace-score-scripted-recording

Code

import speechace from "../../speechace.app.mjs";
import FormData from "form-data";
import {
  getFileStreamAndMetadata, ConfigurationError,
} from "@pipedream/platform";

export default {
  key: "speechace-score-scripted-recording",
  name: "Score Scripted Recording",
  description: "Scores a scripted recording based on fluency and pronunciation. [See the documentation](https://docs.speechace.com/#c34b11dd-8172-441a-bc27-223339d48d8e)",
  version: "0.0.3",
  type: "action",
  props: {
    speechace,
    filePath: {
      propDefinition: [
        speechace,
        "filePath",
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "A word, phrase, or sentence to score",
    },
    questionInfo: {
      type: "string",
      label: "Question Info",
      description: "A unique identifier for the activity or question this user audio is answering",
      optional: true,
    },
    dialect: {
      propDefinition: [
        speechace,
        "dialect",
      ],
    },
    userId: {
      propDefinition: [
        speechace,
        "userId",
      ],
    },
    syncDir: {
      type: "dir",
      accessMode: "read",
      sync: true,
      optional: true,
    },
  },
  async run({ $ }) {
    const data = new FormData();
    const {
      stream, metadata,
    } = await getFileStreamAndMetadata(this.filePath);
    data.append("user_audio_file", stream, {
      contentType: metadata.contentType,
      knownLength: metadata.size,
      filename: metadata.name,
    });
    if (this.text) {
      data.append("text", this.text);
    }
    if (this.questionInfo) {
      data.append("question_info", this.questionInfo);
    }

    const response = await this.speechace.scoreScript({
      $,
      params: {
        dialect: this.dialect,
        user_id: this.userId,
      },
      data,
      headers: data.getHeaders(),
    });
    if (response.status === "error") {
      throw new ConfigurationError(response.detail_message);
    }
    $.export("$summary", `Scored scripted recording for audio file: ${this.filePath}`);
    return response;
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
SpeechacespeechaceappThis component uses the Speechace app.
File Path or URLfilePathstring

Provide either a file URL or a path to a file in the /tmp directory (for example, /tmp/myFile.pdf).

Texttextstring

A word, phrase, or sentence to score

Question InfoquestionInfostring

A unique identifier for the activity or question this user audio is answering

DialectdialectstringSelect a value from the drop down menu:{ "label": "US English", "value": "en-us" }{ "label": "UK English", "value": "en-gb" }
User IDuserIdstring

A unique anonymized identifier for the end-user who spoke the audio

N/AsyncDirdirThis component uses dir to share files between component executions.

Authentication

Speechace uses API keys for authentication. When you connect your Speechace account, Pipedream securely stores the keys so you can easily authenticate to Speechace APIs in both code and no-code steps.

About Speechace

SpeechAce teaches correct American English pronunciation and eliminates your accent one word at a time.

More Ways to Use Speechace

Actions

Transcribe and Score Recording with the Speechace API

Transcribes and scores a provided speech recording. See the documentation

 
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