This Python script listens for a specific keyword ("blueberry") and then records speech, converting it to text until a pause in speech is detected. The text is saved in a designated folder with a filename based on the current date. This script utilizes Picovoice's Porcupine for wake word detection and Cheetah for speech-to-text conversion.

• Keyword Activation: Starts recording when the keyword "blueberry" is detected.
• Speech to Text: Converts spoken words to text using Picovoice's Cheetah.
• Automatic Saving: Saves the transcribed text to a file, appending new text with each activation.

• Python 3.6 or higher
• pvporcupine for wake word detection
• pvcheetah for speech-to-text conversion
• pvrecorder for audio recording

1. Ensure Python 3.6 or higher is installed on your system.

2. Install the required Picovoice packages using pip:

   pip install pvporcupine pvcheetah pvrecorder

3. Clone this repository or download the script to your local machine.

4. Obtain an AccessKey from Picovoice Console (https://console.picovoice.ai/) and add it to a keys.json file in the script's directory:

   {
       "PVPORCUPINE_ACCESS_KEY": "Your-Access-Key-Here"
   }

Run the script from the command line, optionally specifying the output path for the text files:

python voiceNote.py --output_path "the folder where you want to save the notes"

The script will continuously listen for the keyword "blueberry". Upon detection, it starts recording speech and transcribes it to text. The text is saved in a designated folder with filenames based on the current date.

• --output_path: The absolute path to the folder where the recorded text notes will be saved. Defaults to "~/Documents/digitalFabrication/voiceNote".
• --endpoint_duration_sec: The duration in seconds for which speechless audio is considered an endpoint, indicating the end of a speech segment. Defaults to 10 seconds.