pocketsphinx python

Pocketsphinx is a speech recognition engine developed by Carnegie Mellon University. It provides a simple API for performing speech recognition in Python. To use Pocketsphinx in Python, you can follow these steps:

1. Install the required dependencies:

   pip install pocketsphinx

2. Download the necessary language model and acoustic model files from the Pocketsphinx website.

3. Import the pocketsphinx module in your Python script:

   import pocketsphinx

4. Configure the recognizer with the language model and acoustic model files:

   config = pocketsphinx.Decoder.default_config()
   config.set_string('-hmm', 'path/to/acoustic/model')
   config.set_string('-lm', 'path/to/language/model')
   config.set_string('-dict', 'path/to/dictionary')
   decoder = pocketsphinx.Decoder(config)

5. Open an audio file or start recording audio from a microphone:

   decoder.start_utt()
   with open('path/to/audio/file', 'rb') as f:
       audio = f.read()

6. Decode the speech and retrieve the recognized text:

   decoder.process_raw(audio, False, True)
   decoder.end_utt()
   recognized_text = decoder.hyp().hypstr

Please note that the paths to the language model, acoustic model, and dictionary files need to be provided correctly for Pocketsphinx to work properly.