Add tedlium dataset (all 3 releases)

docs/source/datasets.rst

@@ -4,11 +4,11 @@ torchaudio.datasets
 All datasets are subclasses of :class:`torch.utils.data.Dataset`
 i.e, they have ``__getitem__`` and ``__len__`` methods implemented.
 Hence, they can all be passed to a :class:`torch.utils.data.DataLoader`
-which can load multiple samples parallelly using ``torch.multiprocessing`` workers. 
+which can load multiple samples parallelly using ``torch.multiprocessing`` workers.
 For example: ::
-    
+
     yesno_data = torchaudio.datasets.YESNO('.', download=True)
-    data_loader = torch.utils.data.DataLoader(yesno_data, 
+    data_loader = torch.utils.data.DataLoader(yesno_data,
                                               batch_size=1,
                                               shuffle=True,
                                               num_workers=args.nThreads)
@@ -22,7 +22,7 @@ All the datasets have almost similar API. They all have two common arguments:
 ``transform`` and  ``target_transform`` to transform the input and target respectively.
 
 
-.. currentmodule:: torchaudio.datasets 
+.. currentmodule:: torchaudio.datasets
 
 
 CMUARCTIC
@@ -81,6 +81,13 @@ SPEECHCOMMANDS
   :special-members:
 
 
+TEDLIUM
+~~~~~~~~~~~~~~
+
+.. autoclass:: TEDLIUM
+  :members: __getitem__
+  :special-members: get_phoneme_dict
+
 VCTK
 ~~~~
 

test/torchaudio_unittest/datasets/tedlium_test.py

@@ -0,0 +1,154 @@
+import os
+
+from torchaudio.datasets import tedlium
+
+from torchaudio_unittest.common_utils import (
+    TempDirMixin,
+    TorchaudioTestCase,
+    get_whitenoise,
+    save_wav,
+    normalize_wav,
+)
+
+# Used to generate a unique utterance for each dummy audio file
+UTTERANCES = [
+    "AaronHuey_2010X 1 AaronHuey_2010X 0.0 2.0 <o,f0,female> script1\n",
+    "AaronHuey_2010X 1 AaronHuey_2010X 2.0 4.0 <o,f0,female> script2\n",
+    "AaronHuey_2010X 1 AaronHuey_2010X 4.0 6.0 <o,f0,female> script3\n",
+    "AaronHuey_2010X 1 AaronHuey_2010X 6.0 8.0 <o,f0,female> script4\n",
+    "AaronHuey_2010X 1 AaronHuey_2010X 8.0 10.0 <o,f0,female> script5\n",
+]
+
+PHONEME = [
+    "a AH",
+    "a(2) EY",
+    "aachen AA K AH N",
+    "aad AE D",
+    "aaden EY D AH N",
+    "aadmi AE D M IY",
+    "aae EY EY",
+]
+
+
+class TestTedlium(TempDirMixin, TorchaudioTestCase):
+    backend = "default"
+
+    root_dir = None
+    samples = {}
+
+    @classmethod
+    def setUpClass(cls):
+        cls.root_dir = cls.get_base_temp_dir()
+        cls.root_dir = dataset_dir = os.path.join(cls.root_dir, "tedlium")
+        os.makedirs(dataset_dir, exist_ok=True)
+        sample_rate = 16000  # 16kHz
+        seed = 0
+
+        for release in ["release1", "release2", "release3"]:
+            data = get_whitenoise(sample_rate=sample_rate, duration=10.00, n_channels=1, dtype="float32", seed=seed)
+            if release in ["release1", "release2"]:
+                release_dir = os.path.join(
+                    dataset_dir,
+                    tedlium._RELEASE_CONFIGS[release]["folder_in_archive"],
+                    tedlium._RELEASE_CONFIGS[release]["subset"],
+                )
+            else:
+                release_dir = os.path.join(
+                    dataset_dir,
+                    tedlium._RELEASE_CONFIGS[release]["folder_in_archive"],
+                    tedlium._RELEASE_CONFIGS[release]["data_path"],
+                )
+            os.makedirs(release_dir, exist_ok=True)
+            os.makedirs(os.path.join(release_dir, "stm"), exist_ok=True)  # Subfolder for transcripts
+            os.makedirs(os.path.join(release_dir, "sph"), exist_ok=True)  # Subfolder for audio files
+            filename = f"{release}.sph"
+            path = os.path.join(os.path.join(release_dir, "sph"), filename)
+            save_wav(path, data, sample_rate)
+
+            trans_filename = f"{release}.stm"
+            trans_path = os.path.join(os.path.join(release_dir, "stm"), trans_filename)
+            with open(trans_path, "w") as f:
+                f.write("".join(UTTERANCES))
+
+            dict_filename = f"{release}.dic"
+            dict_path = os.path.join(release_dir, dict_filename)
+            with open(dict_path, "w") as f:
+                f.write("\n".join(PHONEME))
+
+            # Create a samples list to compare with
+            cls.samples[release] = []
+            for utterance in UTTERANCES:
+                talk_id, _, speaker_id, start_time, end_time, identifier, transcript = utterance.split(" ", 6)
+                start_time = int(float(start_time)) * sample_rate
+                end_time = int(float(end_time)) * sample_rate
+                sample = (
+                    data[:, start_time:end_time],
+                    sample_rate,
+                    transcript,
+                    talk_id,
+                    speaker_id,
+                    identifier,
+                )
+                cls.samples[release].append(sample)
+            seed += 1
+
+    def test_tedlium_release1(self):
+        release = "release1"
+        dataset = tedlium.TEDLIUM(self.root_dir, release=release)
+        num_samples = 0
+        for i, (data, sample_rate, transcript, talk_id, speaker_id, identifier) in enumerate(dataset):
+            self.assertEqual(data, self.samples[release][i][0], atol=5e-5, rtol=1e-8)
+            assert sample_rate == self.samples[release][i][1]
+            assert transcript == self.samples[release][i][2]
+            assert talk_id == self.samples[release][i][3]
+            assert speaker_id == self.samples[release][i][4]
+            assert identifier == self.samples[release][i][5]
+            num_samples += 1
+
+        assert num_samples == len(self.samples[release])
+
+        dataset._dict_path = os.path.join(dataset._path, f"{release}.dic")
+        phoneme_dict = dataset.phoneme_dict
+        phoenemes = [f"{key} {' '.join(value)}" for key, value in phoneme_dict.items()]
+        assert phoenemes == PHONEME
+
+    def test_tedlium_release2(self):
+        release = "release2"
+        dataset = tedlium.TEDLIUM(self.root_dir, release=release)
+        num_samples = 0
+        for i, (data, sample_rate, transcript, talk_id, speaker_id, identifier) in enumerate(dataset):
+            self.assertEqual(data, self.samples[release][i][0], atol=5e-5, rtol=1e-8)
+            assert sample_rate == self.samples[release][i][1]
+            assert transcript == self.samples[release][i][2]
+            assert talk_id == self.samples[release][i][3]
+            assert speaker_id == self.samples[release][i][4]
+            assert identifier == self.samples[release][i][5]
+            num_samples += 1
+
+        assert num_samples == len(self.samples[release])
+
+        dataset._dict_path = os.path.join(dataset._path, f"{release}.dic")
+        phoneme_dict = dataset.phoneme_dict
+        phoenemes = [f"{key} {' '.join(value)}" for key, value in phoneme_dict.items()]
+        assert phoenemes == PHONEME
+
+    def test_tedlium_release3(self):
+        release = "release3"
+        dataset = tedlium.TEDLIUM(self.root_dir, release=release)
+        num_samples = 0
+        for i, (data, sample_rate, transcript, talk_id, speaker_id, identifier) in enumerate(dataset):
+            self.assertEqual(data, self.samples[release][i][0], atol=5e-5, rtol=1e-8)
+            assert sample_rate == self.samples[release][i][1]
+            assert transcript == self.samples[release][i][2]
+            assert talk_id == self.samples[release][i][3]
+            assert speaker_id == self.samples[release][i][4]
+            assert identifier == self.samples[release][i][5]
+            num_samples += 1
+
+        assert num_samples == len(self.samples[release])
+
+        dataset._dict_path = os.path.join(dataset._path, f"{release}.dic")
+        phoneme_dict = dataset.phoneme_dict
+        phoenemes = [f"{key} {' '.join(value)}" for key, value in phoneme_dict.items()]
+        assert phoenemes == PHONEME
+

torchaudio/datasets/__init__.py

@@ -8,6 +8,7 @@
 from .ljspeech import LJSPEECH
 from .cmuarctic import CMUARCTIC
 from .libritts import LIBRITTS
+from .tedlium import TEDLIUM
 
 __all__ = (
     "COMMONVOICE",
@@ -18,7 +19,8 @@
     "LJSPEECH",
     "GTZAN",
     "CMUARCTIC",
-    "LIBRITTS"
+    "LIBRITTS",
     "diskcache_iterator",
     "bg_iterator",
+    "TEDLIUM",
 )