def init_trial(self, trial):
"""Set signal for variable."""
noise_dur = 0.3 # duration of noise
pause_dur = 0.03 # pause between noise and sine
sine_dur = 0.015 # duration of test signal
ramp_dur = 0.0075 # ramp of hann window
sine_freq = 1600 # freq of test signal
noise_freq = 1600 # midfreq of noise
noise_band_width = 300 # bandwidth of noise
# trial.test_signal = test_tone (matlab)
sine_ampl = np.sqrt(2)*10**(trial.variable/20)
m_test = gensin(sine_freq, sine_ampl, sine_dur, 0,
trial.sample_rate)
m_test = hanwin(m_test, np.round(
ramp_dur*trial.sample_rate))
# generate new instance of running noise
m_ref = np.random.randn(np.round(noise_dur*trial.sample_rate))
m_ref = fft_rect_filt(m_ref, noise_freq-noise_band_width/2,
noise_freq+noise_band_width/2, trial.sample_rate)
# adjust its level
m_ref = m_ref/rms(m_ref)*10**(trial.noise_level/20)
# apply onset/offset ramps
m_ref = hanwin(m_ref, np.round(ramp_dur*trial.sample_rate))
pause_zeros = np.zeros(np.round(pause_dur*trial.sample_rate))
sine_zeros = np.zeros(np.round(sine_dur*trial.sample_rate))
trial.reference_signal = np.concatenate((m_ref, pause_zeros, sine_zeros))
trial.test_signal = np.concatenate((m_ref, pause_zeros, m_test))
def init_trial(self, trial):
"""Set signal for variable."""
trial.test_signal = np.random.randn(0.6*trial.sample_rate)
trial.test_signal = fft_rect_filt(trial.test_signal,
trial.frequency-50,
trial.frequency+50,
trial.sample_rate)
trial.test_signal = trial.test_signal/rms(trial.test_signal)*10**(trial.variable/20)
trial.test_signal = hanwin(trial.test_signal, 0.05)
return trial
def init_experiment(self, exp):
exp.add_parameter("frequency",[100, 200, 500, 1000, 2000, 4000], "Hz")
exp.set_variable("gain", -30, "dB")
exp.add_adapt_setting("1up2down", 3, 8, 1)
exp.task = "loudness of the noise should go (u)p/(d)own? "
exp.debug = False
exp.discard_unfinished_runs = False
exp.description = """This is the description of matching experiment"""
ref = gensin(1000, 1, 0.6, 0, exp.sample_rate)
srms = rms(ref)
exp.reference_signal = ref/srms*10**(-30/20)
exp.reference_signal = hanwin(exp.reference_signal, 0.05)
exp.pre_signal = 0.1
exp.between_signal = 0.2
exp.post_signal = 0.3
def init_run(self, run):
ref = np.random.randn(np.round(0.3*run.sample_rate))
ref = ref/rms(ref)*10**(run.noise_level/20)
run.reference_signal = ref
