iCorv

# lets build an audio dataset of random sinus chunks!

def sinus_dataset_generator(num_examples, fs, samples, frequency_range):
    """Builds a dataset of sinus.
    
    Args:
        num_examples: number of examples to generate (int)
        fs: sample rate of the sinus
        samples: number of samples to generate (int)
        frequency_range: a list of two values defining [lower, upper] frequency range (int)

iCorv

AUDIO_CHUNK_SIZE = 1024
RATE = 44100

# build the model
kernel_size = (1,5)
input_audio = Input(shape=(1, AUDIO_CHUNK_SIZE, 1))

net = Convolution2D(filters=64, kernel_size=kernel_size,activation='relu',padding='same')(input_audio)
net = AveragePooling2D((1,2))(net)
net = Convolution2D(filters=32, kernel_size=kernel_size,activation='relu',padding='same')(net)