text-to-speech

Enhance Applications with Text-to-Speech Using Kokoro 82m

25 Apr 2025
Enhance Applications with Text-to-Speech Using Kokoro 82m

The "Kokoro 82m" service offers a powerful and efficient text-to-speech (TTS) solution that leverages the capabilities of its lightweight model, based on StyleTTS2. With 82 million parameters, Kokoro is designed to produce high-quality speech synthesis across multiple languages, including English, Japanese, and Mandarin. This service is particularly beneficial for developers looking to integrate speech capabilities into their applications with speed and cost efficiency.

Imagine enhancing user experiences in applications such as virtual assistants, educational tools, or accessibility features for the visually impaired. The Kokoro TTS can convert written content into natural-sounding speech, making information more accessible and engaging for users. Whether you're developing a mobile app, website, or any digital platform, incorporating Kokoro can significantly improve user interaction by adding a voice that resonates with your audience.

Convert Text to Speech with Kokoro

The "Convert Text to Speech with Kokoro" action allows developers to transform written text into spoken words. This action solves the problem of making text-based content more interactive and accessible, providing a seamless auditory experience for users.

Input Requirements

To use this action, you need to provide the following input parameters:

  • Text: The content you want to convert into speech. For example, "Kokoro is an open-weight TTS model with 82 million parameters."
  • Speed: A numerical value indicating the speed of speech generation, ranging from 0.1 to 5, with a default of 1.
  • Voice: Choose from a variety of voice presets to suit your application's tone. Options range from character voices to more neutral tones.
  • Language Code: Specify the language of the input text using a predefined code that represents different language families.

Expected Output

The output of this action will be a URL link to an audio file where the synthesized speech is stored. For instance, the output could be a link like "https://assets.cognitiveactions.com/invocations/5c635774-f959-4313-a5f2-e9d49fb414e8/9ab5d83d-e098-464b-a4fe-6f100706a47d.wav", which can be played back in your application.

Use Cases for this Specific Action

  • E-Learning Platforms: Improve the learning experience by converting course material into audio, helping students who prefer auditory learning.
  • Accessibility Features: Provide voice output for visually impaired users, allowing them to consume written content effortlessly.
  • Virtual Assistants: Enhance the interaction of voice-activated systems by using customizable voices to deliver responses or information.
  • Content Creation Tools: Enable creators to generate audio for their articles or blogs, offering a new medium for content consumption.
import requests
import json

# Replace with your actual Cognitive Actions API key and endpoint
# Ensure your environment securely handles the API key
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
# This endpoint URL is hypothetical and should be documented for users
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"

action_id = "9833553b-1bf1-4dcd-ba14-ae56f1cc40c0" # Action ID for: Convert Text to Speech with Kokoro

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "text": "Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects.",
  "speed": 1,
  "voice": "af_heart",
  "languageCode": "a"
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json",
    # Add any other required headers for the Cognitive Actions API
}

# Prepare the request body for the hypothetical execution endpoint
request_body = {
    "action_id": action_id,
    "inputs": payload
}

print(f"--- Calling Cognitive Action: {action.name or action_id} ---")
print(f"Endpoint: {COGNITIVE_ACTIONS_EXECUTE_URL}")
print(f"Action ID: {action_id}")
print("Payload being sent:")
print(json.dumps(request_body, indent=2))
print("------------------------------------------------")

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json=request_body
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully. Result:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body (non-JSON): {e.response.text}")
    print("------------------------------------------------")

Conclusion

Integrating the Kokoro 82m text-to-speech action into your applications can greatly enhance user experience by providing dynamic and engaging auditory content. With its flexibility in voice selection, speed adjustment, and multi-language support, Kokoro makes it easier than ever for developers to implement speech synthesis.

To get started, ensure you have your Cognitive Actions API key, familiarize yourself with the API call structure, and explore how Kokoro can be tailored to meet your specific needs. Embrace the power of voice and elevate your applications today!

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