Audio descriptor of data
If you want a simple way to transform a numeric array in sound, I suggest you to use Python, with the wave module and Numpy numeric package.

Now if you want to analyze the spectrogram of the numbers without listening to anything, then Python's Matplotlib does what you want.

Below is a sample working code that generates a simple tone, saves it to a .wav file, AND displays a spectrogram:

import numpy
import wave
from matplotlib import pyplot as plt

samplerate = 44100

# generate simple sound
sound_data = numpy.sin(numpy.linspace(0,20000,100000))*1000

# converts to a string representation (I suspect there might be a more natural way to do this)
raw = "".join((wave.struct.pack('h', item) for item in sound_data))

# saving to .wav file
filename = 'aaa.wav'
sound = wave.open(filename, 'wb')
sound.setparams((1, 2, samplerate, 1, 'NONE', 'noncompressed'))
sound.writeframes(raw)
sound.close()

# plotting spectrogram
plt.specgram(sound_data)
plt.show()