def _smoke_test(self, format, compression, check_num_frames):
        """
        The purpose of this test suite is to verify that apply_codec functionalities do not exhibit
        abnormal behaviors.
        """
        torch.random.manual_seed(42)
        sample_rate = 8000
        num_frames = 3 * sample_rate
        num_channels = 2
        waveform = torch.rand(num_channels, num_frames)

        augmented = F.apply_codec(waveform, sample_rate, format, True,
                                  compression)
        assert augmented.dtype == waveform.dtype
        assert augmented.shape[0] == num_channels
        if check_num_frames:
            assert augmented.shape[1] == num_frames
Exemple #2
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        "bits_per_sample": 8
    }, "8 bit mu-law"),
    ({
        "format": "gsm"
    }, "GSM-FR"),
    ({
        "format": "mp3",
        "compression": -9
    }, "MP3"),
    ({
        "format": "vorbis",
        "compression": -1
    }, "Vorbis"),
]
for param, title in configs:
    augmented = F.apply_codec(waveform, sample_rate, **param)
    plot_specgram(augmented, sample_rate, title=title)
    play_audio(augmented, sample_rate)

######################################################################
# Simulating a phone recoding
# ---------------------------
#
# Combining the previous techniques, we can simulate audio that sounds
# like a person talking over a phone in a echoey room with people talking
# in the background.
#

sample_rate = 16000
speech, _ = get_speech_sample(resample=sample_rate)