Create rir-noise.py

rir-noise.py

@@ -0,0 +1,116 @@
+import os
+import textwrap
+import datasets
+import itertools
+import typing as tp
+from pathlib import Path
+
+
+SAMPLE_RATE = 16_000
+
+_RIR_NOISE_URL = 'https://www.openslr.org/resources/28/rirs_noises.zip'
+_AUDIO_TYPES = ['pointsource_noises', 'real_rirs_isotropic_noises', 'simulated_rirs']
+
+
+def fast_scandir(path: str, exts: tp.List[str], recursive: bool = False):
+    # Scan files recursively faster than glob
+    # From github.com/drscotthawley/aeiou/blob/main/aeiou/core.py
+    subfolders, files = [], []
+
+    try:  # hope to avoid 'permission denied' by this try
+        for f in os.scandir(path):
+            try:  # 'hope to avoid too many levels of symbolic links' error
+                if f.is_dir():
+                    subfolders.append(f.path)
+                elif f.is_file():
+                    if os.path.splitext(f.name)[1].lower() in exts:
+                        files.append(f.path)
+            except Exception:
+                pass
+    except Exception:
+        pass
+
+    if recursive:
+        for path in list(subfolders):
+            sf, f = fast_scandir(path, exts, recursive=recursive)
+            subfolders.extend(sf)
+            files.extend(f)  # type: ignore
+
+    return subfolders, files
+
+
+class RIRNoiseConfig(datasets.BuilderConfig):
+    """BuilderConfig for RIR-Noise."""
+    
+    def __init__(self, features, **kwargs):
+        super(RIRNoiseConfig, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs)
+        self.features = features
+
+
+class RIRNoise(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        RIRNoiseConfig(
+            features=datasets.Features(
+                {
+                    "file": datasets.Value("string"),
+                    "audio": datasets.Audio(sampling_rate=SAMPLE_RATE),
+                    "label": datasets.ClassLabel(names=_AUDIO_TYPES),
+                }
+            ),
+            name="rir-noise", 
+            description=textwrap.dedent(
+                """\
+                A database of simulated and real room impulse responses, isotropic and point-source noises. 
+                """
+            ),
+        ), 
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="A database of simulated and real room impulse responses, isotropic and point-source noises.",
+            features=self.config.features,
+            supervised_keys=None,
+            homepage="https://www.openslr.org/28",
+            citation="""
+                @inproceedings{ko2017study,
+                  title={A study on data augmentation of reverberant speech for robust speech recognition},
+                  author={Ko, Tom and Peddinti, Vijayaditya and Povey, Daniel and Seltzer, Michael L and Khudanpur, Sanjeev},
+                  booktitle={2017 IEEE international conference on acoustics, speech and signal processing (ICASSP)},
+                  pages={5220--5224},
+                  year={2017},
+                  organization={IEEE}
+                }
+            """,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        archive_path = dl_manager.download_and_extract(_RIR_NOISE_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"archive_path": archive_path, "split": "train"}
+            ), 
+        ]
+
+    def _generate_examples(self, archive_path, split=None):
+        extensions = ['.wav']
+        _, _walker = fast_scandir(archive_path, extensions, recursive=True)
+
+        if split == 'train':
+            _walker = [fileid for fileid in _walker]
+
+        for guid, audio_path in enumerate(_walker):
+            if 'pointsource_noises' in audio_path:
+                label = 'pointsource_noises'
+            elif 'real_rirs_isotropic_noises' in audio_path:
+                label = 'real_rirs_isotropic_noises'
+            elif 'simulated_rirs' in audio_path:
+                label = 'simulated_rirs'
+            yield guid, {
+                "id": str(guid),
+                "file": audio_path, 
+                "audio": audio_path, 
+                "label": label, 
+            }