```python
import numpy as np
from expyfun import ExperimentController
from expyfun.stimuli import crm_prepare_corpus, crm_sentence, CRMPreload
from expyfun.io import write_hdf5

# Prepare the CRM corpus
crm_prepare_corpus('/path/to/crm_corpus', fs=40000)

# Preload talkers
preload = CRMPreload(fs=40000, talker_list=[('male', 1), ('female', 1)])

# Experiment parameters
exp_name = 'CRM_experiment'
participant = 'subj_01'
session = '1'
version = '1.0'
window_size = [800, 600]
duration = 2.0  # Duration to wait for a response

# Initialize ExperimentController
with ExperimentController(exp_name, participant=participant, session=session, version=version,
                          window_size=window_size, full_screen=False) as ec:
    ec.load_buffer(preload.buffer)

    # Display a text prompt
    ec.screen_prompt('Listen carefully to the sentences', duration=2)

    # Get sentences
    sentence1 = crm_sentence(preload, 0, 'charlie', 'blue', 1)
    sentence2 = crm_sentence(preload, 1, 'ringo', 'green', 2)

    # Pad and align sentences
    max_len = max(len(sentence1), len(sentence2))
    sentence1_padded = np.pad(sentence1, (0, max_len - len(sentence1)), 'constant')
    sentence2_padded = np.pad(sentence2, (0, max_len - len(sentence2)), 'constant')
    combined_stim = np.vstack((sentence1_padded, sentence2_padded)).T

    # Load padded sentences into the buffer
    ec.load_buffer(combined_stim)

    # Start stimulus
    ec.start_stimulus()

    # Wait for a specific duration
    ec.wait_secs(duration)

    # Response menu
    response = crm_response_menu(ec, ['charlie', 'ringo'], ['blue', 'green'])

    # Display a prompt based on the response
    if response == 'charlie':
        ec.screen_text('You selected Charlie.')
    else:
        ec.screen_text('You selected Ringo.')

    # Plot a screenshot of the experiment
    screenshot = ec.get_screen()
    ec.save(screenshot, 'experiment_screenshot.png')

    # Wait for a click to end the experiment
    ec.wait_for_click_on(['OK'])

    # Clear the display
    ec.clear_display()
```