Convert Text to Speech with AiVOOV API on New Room Event (Instant) from LiveKit API

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New Room Event (Instant) from the LiveKit API

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Convert Text to Speech with the AiVOOV API

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Getting Started#

This integration creates a workflow with a LiveKit trigger and AiVOOV action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Room Event (Instant) trigger
1. Connect your LiveKit account
2. Select one or more Event Types
3. Optional- Configure Room Name Filter
Configure the Convert Text to Speech action
1. Connect your AiVOOV account
2. Select a Provider
3. Select a Voice ID
4. Configure Transcribe Text
5. Select a Engine
6. Optional- Configure Transcribe SSML Style
7. Optional- Configure Transcribe SSML Speak Rate
8. Optional- Configure Transcribe SSML Volume
9. Optional- Configure Transcribe SSML Pitch Rate
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Room Event (Instant) on LiveKit

Description:Emit new event for LiveKit room activities via webhook. [See the documentation](https://docs.livekit.io/home/server/webhooks/).

Version:0.0.1

Key:livekit-new-room-event-instant

View on GitHub

Trigger Code#

import app from "../../livekit.app.mjs";

export default {
  key: "livekit-new-room-event-instant",
  name: "New Room Event (Instant)",
  description: "Emit new event for LiveKit room activities via webhook. [See the documentation](https://docs.livekit.io/home/server/webhooks/).",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    http: "$.interface.http",
    eventTypes: {
      type: "string[]",
      label: "Event Types",
      description: "Select which types of events to monitor",
      options: [
        {
          label: "Room Started (e.g., call initiated)",
          value: "room_started",
        },
        {
          label: "Room Finished (e.g., call ended)",
          value: "room_finished",
        },
        {
          label: "Participant Joined (e.g., call answered)",
          value: "participant_joined",
        },
        {
          label: "Participant Left (e.g., call ended)",
          value: "participant_left",
        },
        {
          label: "Track Published (e.g., video track published)",
          value: "track_published",
        },
        {
          label: "Track Unpublished (e.g., video track unpublished)",
          value: "track_unpublished",
        },
        {
          label: "Egress Started (e.g., egress started for recording or streaming)",
          value: "egress_started",
        },
        {
          label: "Egress Updated (e.g., egress updated for recording or streaming)",
          value: "egress_updated",
        },
        {
          label: "Egress Ended (e.g., egress ended for recording or streaming)",
          value: "egress_ended",
        },
        {
          label: "Ingress Started (e.g., ingress started for recording or streaming)",
          value: "ingress_started",
        },
        {
          label: "Ingress Ended (e.g., ingress ended for recording or streaming)",
          value: "ingress_ended",
        },
      ],
    },
    roomNameFilter: {
      type: "string",
      label: "Room Name Filter",
      description: "Only emit events for this specific room. Leave empty to monitor all rooms.",
      optional: true,
    },
  },
  methods: {
    shouldEmitEvent({
      event, room,
    }) {
      // Check if event type is in our filter
      if (!this.eventTypes.includes(event)) {
        return false;
      }

      // Filter by room if specified, with case-insensitive comparison
      if (this.roomNameFilter
        && room?.name?.toLowerCase() !== this.roomNameFilter.toLowerCase()) {
        return false;
      }

      return true;
    },
    generateSummary(event) {
      const room = event.room?.name || "Unknown room";

      switch (event.event) {
      case "room_started":
        return `Room started: ${room}`;
      case "room_finished":
        return `Room finished: ${room}`;
      case "participant_joined": {
        const joinedParticipant = event.participant?.identity || "Unknown";
        return `${joinedParticipant} joined room: ${room}`;
      }
      case "participant_left": {
        const leftParticipant = event.participant?.identity || "Unknown";
        return `${leftParticipant} left room: ${room}`;
      }
      case "track_published": {
        const publishedBy = event.participant?.identity || "Unknown";
        const trackType = event.track?.type || "track";
        return `${publishedBy} published ${trackType} in room: ${room}`;
      }
      case "track_unpublished": {
        const unpublishedBy = event.participant?.identity || "Unknown";
        const unpublishedTrackType = event.track?.type || "track";
        return `${unpublishedBy} unpublished ${unpublishedTrackType} in room: ${room}`;
      }
      case "egress_started": {
        const egressId = event.egressInfo?.egressId || "Unknown";
        return `Egress started (${egressId}) in room: ${room}`;
      }
      case "egress_updated": {
        const egressId = event.egressInfo?.egressId || "Unknown";
        return `Egress updated (${egressId}) in room: ${room}`;
      }
      case "egress_ended": {
        const egressId = event.egressInfo?.egressId || "Unknown";
        return `Egress ended (${egressId}) in room: ${room}`;
      }
      case "ingress_started": {
        const ingressId = event.ingressInfo?.ingressId || "Unknown";
        return `Ingress started (${ingressId}) in room: ${room}`;
      }
      case "ingress_ended": {
        const ingressId = event.ingressInfo?.ingressId || "Unknown";
        return `Ingress ended (${ingressId}) in room: ${room}`;
      }
      default:
        return `${event.event} in room: ${room}`;
      }
    },
  },
  async run({
    headers, bodyRaw,
  }) {
    if (!headers.authorization) {
      throw new Error("Missing Authorization header");
    }

    const webhookEvent = await this.app.verifyWebhook(bodyRaw, headers.authorization);

    if (this.shouldEmitEvent(webhookEvent)) {
      this.$emit(webhookEvent, {
        id: webhookEvent.id,
        summary: this.generateSummary(webhookEvent),
        ts: parseInt(webhookEvent.createdAt) * 1000,
      });
    }
  },
};

Trigger 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.

Label	Prop	Type	Description
LiveKit	`app`	`app`	This component uses the LiveKit app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Event Types	`eventTypes`	`string[]`	Select a value from the drop down menu:`{ "label": "Room Started (e.g., call initiated)", "value": "room_started" }{ "label": "Room Finished (e.g., call ended)", "value": "room_finished" }{ "label": "Participant Joined (e.g., call answered)", "value": "participant_joined" }{ "label": "Participant Left (e.g., call ended)", "value": "participant_left" }{ "label": "Track Published (e.g., video track published)", "value": "track_published" }{ "label": "Track Unpublished (e.g., video track unpublished)", "value": "track_unpublished" }{ "label": "Egress Started (e.g., egress started for recording or streaming)", "value": "egress_started" }{ "label": "Egress Updated (e.g., egress updated for recording or streaming)", "value": "egress_updated" }{ "label": "Egress Ended (e.g., egress ended for recording or streaming)", "value": "egress_ended" }{ "label": "Ingress Started (e.g., ingress started for recording or streaming)", "value": "ingress_started" }{ "label": "Ingress Ended (e.g., ingress ended for recording or streaming)", "value": "ingress_ended" }`
Room Name Filter	`roomNameFilter`	`string`	Only emit events for this specific room. Leave empty to monitor all rooms.

Trigger Authentication#

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

To retrieve your API Key, Secret Key and Project URL,

Navigate to your LiveKit account and sign in
Go to “Settings” > "Project" for Project URL
Go to “Settings” > "Keys" for API Key and Secret Key

About LiveKit#

Build realtime AI. Instantly transport audio + video between LLMs and your users.

Action#

Convert Text to Speech on AiVOOV

Description:Converts text to audio using the Aivoov API. [See the documentation](https://github.com/aivoov/aivoov-api)

Version:0.0.1

Key:aivoov-convert-text-to-speech

View on GitHub

AiVOOV Overview#

AiVOOV API offers speech recognition capabilities that enable you to convert audio into text, supporting various languages. This can be particularly useful for transcription services, content generation, and multilingual support systems. On Pipedream, you can leverage this API to create powerful serverless workflows that trigger upon receiving audio data, automatically transcribing it and connecting the output to countless other services for processing, analysis, or storage.

Action Code#

import aivoov from "../../aivoov.app.mjs";
import FormData from "form-data";

export default {
  key: "aivoov-convert-text-to-speech",
  name: "Convert Text to Speech",
  description:
    "Converts text to audio using the Aivoov API. [See the documentation](https://github.com/aivoov/aivoov-api)",
  version: "0.0.1",
  type: "action",
  props: {
    aivoov,
    provider: {
      propDefinition: [
        aivoov,
        "provider",
      ],
    },
    voiceId: {
      propDefinition: [
        aivoov,
        "voiceId",
        (c) => ({
          provider: c.provider,
        }),
      ],
    },
    transcribeText: {
      propDefinition: [
        aivoov,
        "transcribeText",
      ],
    },
    engine: {
      propDefinition: [
        aivoov,
        "engine",
      ],
    },
    transcribeSsmlStyle: {
      propDefinition: [
        aivoov,
        "transcribeSsmlStyle",
      ],
    },
    transcribeSsmlSpkRate: {
      propDefinition: [
        aivoov,
        "transcribeSsmlSpkRate",
      ],
    },
    transcribeSsmlVolume: {
      propDefinition: [
        aivoov,
        "transcribeSsmlVolume",
      ],
    },
    transcribeSsmlPitchRate: {
      propDefinition: [
        aivoov,
        "transcribeSsmlPitchRate",
      ],
    },
  },
  async run({ $ }) {
    const data = new FormData();
    if (this.voiceId) {
      data.append("voice_id", this.voiceId.replace("{engine}", "{{engine}}"));
    }

    if (this.transcribeText) {
      data.append("transcribe_text[]", JSON.stringify(this.transcribeText));
    }

    if (this.engine) {
      data.append("engine", this.engine);
    }

    if (this.transcribeSsmlStyle) {
      data.append("transcribe_ssml_style", this.transcribeSsmlStyle);
    }

    if (this.transcribeSsmlSpkRate) {
      data.append(
        "transcribe_ssml_spk_rate",
        this.transcribeSsmlSpkRate + "%",
      );
    }

    if (this.transcribeSsmlVolume) {
      data.append("transcribe_ssml_volume", this.transcribeSsmlVolume + "dB");
    }

    if (this.transcribeSsmlPitchRate) {
      data.append(
        "transcribe_ssml_pitch_rate",
        this.transcribeSsmlPitchRate + "%",
      );
    }

    const response = await this.aivoov.transcribe({
      $,
      data,
      headers: data.getHeaders(),
    });
    $.export("$summary", "Successfully converted text to speech");
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
AiVOOV	`aivoov`	`app`	This component uses the AiVOOV app.
Provider	`provider`	`string`	Select a value from the drop down menu:`googleazureibmaws`
Voice ID	`voiceId`	`string`	Select a value from the drop down menu.
Transcribe Text	`transcribeText`	`string[]`	An array of strings, where each string represents a paragraph in plain text format OR valid SSML format
Engine	`engine`	`string`	Select a value from the drop down menu:`standardneuralneural2`
Transcribe SSML Style	`transcribeSsmlStyle`	`string`	A string representing the tone and accent of the voice to read the text
Transcribe SSML Speak Rate	`transcribeSsmlSpkRate`	`integer`	Must be in the closed interval of `[20, 200] %`. Use this to speed-up, or slow-down the speaking rate of the speech
Transcribe SSML Volume	`transcribeSsmlVolume`	`integer`	Must be in the closed interval of `[-40, 40] dB`. Use this to high or low the speaking volume of the speech
Transcribe SSML Pitch Rate	`transcribeSsmlPitchRate`	`integer`	Must be in the closed interval of `[-50, 50] %`. Use this to pitch-low, or pitch-low the speaking pitch of the speech