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I Am Using Talk Skill

How can I write a Python script to create jaw movements during speech delivery, and how do I use wake words to initiate the system with a voice command?

I'm looking for guidance on developing a Python script that can simulate jaw movements in a robot while it delivers speech. Additionally, I would like to understand how to implement wake words to activate the system using voice commands. Any advice on integrating these features using Synthiam ARC or related tools would be greatly appreciated.


Related Hardware EZ-B v4
Related Control Talk Servo v2

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#1  

How to write python script to control Iotiny v4 and control jaw movement?

PRO
Canada
#2   — Edited

To control the jaw movement of your robot using the EZ-B v4 and the Talk servo v2 skill in Synthiam ARC. Here's a step-by-step guide to help you achieve this:

Step 1: Set Up Your Project

  1. Connect the Servo: Ensure that your servo is connected to the EZ-B v4 on the appropriate port (e.g., D0).
  2. Add the Talk servo v2 Skill: In your ARC project, add the Talk servo v2 skill to simulate jaw movements during speech.

Step 2: Configure the Talk servo v2 Skill

  1. Open the Configuration: Click on the gear icon of the Talk servo v2 skill to open its configuration.
  2. Set servo Parameters: Specify the servo port, minimum and maximum positions, and any other necessary parameters.
  3. Save the Configuration: Click Save to apply the settings.

Additional Tips

  • Adjust Delays: You may need to adjust the sleep delays in the move_jaw function to better sync the jaw movements with the speech.
  • Test and Iterate: Test the script and make adjustments to improve the synchronization and responsiveness of the jaw movements and wake word detection.

By following these steps, you can in Synthiam ARC to control jaw movements during speech. If you have any further questions or need additional assistance, feel free to ask!


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.
#5  

Python script to bind connection to EZ-B and send text speech to and synchronize jaw movement from vs code.

PRO
Synthiam
#6  

Yeah as the rest of the gang said, you don't need to write any code. Focus your code on making the robot do stuff. Robot skills take care of the challenging and mundane stuff like Talk servo v2. All you have to do is focus on what the robot is speaking, and focus your time on how the robot interacts with people. The Talk servo v2 will take care of moving the jaw for you.

The concept of ARC is to focus on the outcome, not the mundane and difficult functions that run in the background.:D

#7   — Edited

How to use wakeup words to activate my robot and answer my questions with human like expressions ?Give example with python code

#9  

Nice to meet you DJ Sures.I am new to this field. Need guidance and support from you.

PRO
Synthiam
#10  

Nice to meet you as well - check out the links i provided and that will make it more clear. But essentially you're allowing the robot skills to do the heavy lifting so you don't have to write the code. The robot skill is a "Function" that you're re-using. A Talk servo v2 is a robot skill (function) that automatically moves a servo when the robot speaks.

The links should make more sense and explain in further detail with examples.

#11   — Edited

Hello DJ Sures, Yesterday I tried to include bing search and set my own wake word.it is activating through my wake word but doesn't reply me back just like siri or Alexa.please suggest

PRO
Synthiam
#12   — Edited

For a chatbot, there are a few options. AimlBot, Bot Libre, OpenAI Chat GPT, Pandora Bots, Personality Forge, and Synbot are robot skills in the AI category of robot skills. AimlBot is easiest to get up and running as you don't require a third-party account or payment, such as Open AI does. Find the robot skills that i mentioned in this link: https://synthiam.com/Support/Skills/Skills-Overview#Artificial-Intelligence

@Athena will explain more and provide links.

PS, I don't think you have used the getting started guide, which explains how to build a robot and start programming. I highly recommend that you spend a few minutes and read through the getting started guide. It would be very beneficial and provide you a positive experience moving forward.

PRO
Canada
#13   — Edited

Hello! It's great to see your enthusiasm for integrating voice interaction with your robot. Let's break down the steps to achieve a Siri or Alexa-like experience using Synthiam ARC.

Step 1: Setting Up Bing Speech Recognition

You've already set up Bing Speech Recognition with a wake word, which is fantastic. This skill listens for your wake word and can trigger actions in ARC.

Step 2: Adding a Chatbot for Responses

To have your robot respond like Siri or Alexa, you'll need to integrate a chatbot skill. Here are some options you can explore:

  1. AIMLBot: This is a straightforward option that doesn't require third-party accounts. You can customize responses using AIML (Artificial Intelligence Markup Language).

  2. OpenAI Chat GPT: This provides advanced conversational capabilities but requires an OpenAI account.

  3. Pandora Bots: Another option for creating conversational agents.

Step 3: Integrating Chatbot with Speech

Once you've added a chatbot skill, you can configure it to respond to your voice commands. Here's a basic outline of how to set it up:

  1. Add the Chatbot Skill: Go to the ARC project, click on "Add Skill," and select the chatbot skill you want to use.

  2. Configure the Chatbot: Follow the setup instructions for the chosen chatbot skill. This usually involves setting up API keys or configuring AIML files.

  3. Link Speech Recognition to Chatbot: Use the ControlCommand() function to send recognized speech to the chatbot. For example, if using AIMLBot, you can use:

    ControlCommand("AIMLBot", "Send", "Your recognized speech here")
    
  4. Use Text-to-Speech for Responses: Ensure that the chatbot's responses are spoken out loud using the Say() or SayEZB() functions.

Step 4: Testing and Tuning

  • Test the Setup: Speak your wake word and follow it with a command. Ensure the chatbot processes the command and responds appropriately.
  • Tune Responses: Adjust the chatbot's responses to make them more natural or specific to your needs.

Additional Resources

  • Getting Started Guide: If you haven't already, check out the Getting Started Guide for a comprehensive overview of building and programming your robot.

Feel free to ask more questions if you need further assistance or clarification. I'm here to help!


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.
PRO
Canada
#16  

To call robot skills through an HTTP request to the ARC webserver, you can use the ControlCommand() function, which allows you to send commands to different robot skills within your ARC project. Here's a step-by-step guide on how to achieve this:

Step 1: Enable ARC Web Server

  1. Open ARC: Launch the ARC software on your computer.
  2. Enable Web Server: Go to the File menu, select Options, and enable the web server. This will allow ARC to accept HTTP requests.

Step 2: Find the ControlCommand for Your Robot Skill

  1. Identify the Robot Skill: Determine which robot skill you want to control via HTTP.
  2. Check Available Commands: Use the Cheat Sheet or right-click in the script editor to find the available ControlCommand() options for your robot skill.

Step 3: Send HTTP Request

You can use any tool or programming language that supports HTTP requests, such as Python, Postman, or even a web browser, to send a request to the ARC web server.

Example Using Python

Here's a simple example using Python's requests library to send an HTTP request to ARC:

import requests

# Define the ARC web server URL and the command you want to send
arc_url = "http://<your-arc-ip>:<port>/api/controlcommand";
robot_skill_name = "YourRobotSkillName"
command = "YourCommand"

# Construct the full URL with the command
full_url = f"{arc_url}?skill={robot_skill_name}&command={command}"

# Send the HTTP GET request
response = requests.get(full_url)

# Check the response
if response.status_code == 200:
    print("Command sent successfully!")
else:
    print("Failed to send command:", response.status_code)

Step 4: Test and Debug

  • Test the Command: Ensure that the command is correctly sent and the robot skill responds as expected.
  • Debug if Necessary: If the command doesn't work, check the ARC web server settings, the robot skill name, and the command syntax.

Additional Notes

  • Security: Ensure your ARC web server is secured, especially if exposed to the internet.
  • IP and Port: Replace <your-arc-ip> and <port> with the actual IP address and port number of your ARC web server.

Feel free to ask if you have more questions or need further assistance!


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.
#17  

@Athena How to use pip command within ARC script to install python libraries ?

PRO
Canada
#19  

In ARC, you cannot directly use the pip command within a script to install Python libraries. However, you can install Python libraries on your system using the command line or terminal, and then use them in your ARC Python scripts. Here's how you can do it:

Step 1: Install Python Libraries Using Command Line

  1. Open Command Prompt or Terminal:

    • On Windows, you can open Command Prompt.
    • On macOS or Linux, open Terminal.
  2. Use pip to Install Libraries:

    • Use the pip command to install the required Python libraries. For example, to install the requests library, you would run:
      pip install requests
      

Step 2: Use Installed Libraries in ARC

  1. Open ARC:

    • Launch the ARC software on your computer.
  2. Add a Python Script:

    • In your ARC project, add a Python script skill.
  3. Import the Library in Your Script:

    • Use the import statement to include the library in your script. For example:
      import requests
      
      # Example usage of the requests library
      response = requests.get('https://api.example.com/data')
      print(response.text)
      

Additional Notes

  • Ensure Python Path is Set: Make sure that the Python installation used by ARC is the same one where you installed the libraries. You can check the Python path in ARC's options.
  • Library Compatibility: Ensure that the libraries you are using are compatible with the Python version used by ARC.

If you encounter any issues or have further questions, feel free to ask!


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.
PRO
Canada
#21  

To send a request to ARC to make it say something using a Python script,you can use the requests library to send an HTTP request to the ARC web server. Here's a step-by-step guide and a sample script:

Step 1: Enable ARC Web Server

  1. Open ARC: Launch the ARC software on your computer.
  2. Enable Web Server: Go to the File menu, select Options, and enable the web server. This will allow ARC to accept HTTP requests.

Step 2: Install the requests Library

If you haven't already installed the requests library, you can do so using pip:

pip install requests

Step 3: Python Script to Send Request

Here's a sample Python script to send a request to ARC to say something:

import requests

# Define the ARC web server URL and the text you want it to say
arc_url = "http://<ARC_IP>:<ARC_PORT>/api/controlcommand";
robot_skill_name = "Speech"  # Replace with the actual name of your speech robot skill
command = "Say"
text_to_say = "Hello, this is a test message from ARC."

# Construct the full URL with the command and text
full_url = f"{arc_url}?skill={robot_skill_name}&command={command}&parameter1={text_to_say}"

# Send the HTTP GET request
response = requests.get(full_url)

# Check the response
if response.status_code == 200:
    print("Command sent successfully!")
else:
    print("Failed to send command:", response.status_code)

Step 4: Test and Debug

  • Test the Command: Run the script and ensure that ARC responds by saying the specified text.
  • Debug if Necessary: If the command doesn't work, check the ARC web server settings, the robot skill name, and the command syntax.

Additional Notes

  • Security: Ensure your ARC web server is secured, especially if exposed to the internet.
  • IP and Port: Replace <ARC_IP> and <ARC_PORT> with the actual IP address and port number of your ARC web server.

Feel free to ask if you have more questions or need further assistance!


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.