Add addtional datasets

TTS/utils/download.py

@@ -7,6 +7,7 @@ import tarfile
 import urllib
 import urllib.request
 import zipfile
+from os.path import expanduser
 from typing import Any, Iterable, List, Optional
 
 from torch.utils.model_zoo import tqdm
@@ -183,3 +184,24 @@ def extract_archive(from_path: str, to_path: Optional[str] = None, overwrite: bo
         pass
 
     raise NotImplementedError(" > [!] only supports tar.gz, tgz, and zip achives.")
+
+
+def download_kaggle_dataset(dataset_path: str, dataset_name: str, output_path: str):
+    """Download dataset from kaggle.
+    Args:
+        dataset_path (str):
+        This the kaggle link to the dataset. for example vctk is 'mfekadu/english-multispeaker-corpus-for-voice-cloning'
+        dataset_name (str): Name of the folder the dataset will be saved in.
+        output_path (str): Path of the location you want the dataset folder to be saved to.
+    """
+    data_path = os.path.join(output_path, dataset_name)
+    try:
+        import kaggle  # pylint: disable=import-outside-toplevel
+
+        kaggle.api.authenticate()
+        print(f"""\nDownloading {dataset_name}...""")
+        kaggle.api.dataset_download_files(dataset_path, path=data_path, unzip=True)
+    except OSError:
+        print(
+            f"""[!] in order to download kaggle datasets, you need to have a kaggle api token stored in your {os.path.join(expanduser('~'), '.kaggle/kaggle.json')}"""
+        )

TTS/utils/downloaders.py

@@ -1,6 +1,7 @@
 import os
+from typing import Optional
 
-from TTS.utils.download import download_url, extract_archive
+from TTS.utils.download import download_kaggle_dataset, download_url, extract_archive
 
 
 def download_ljspeech(path: str):
@@ -18,12 +19,17 @@ def download_ljspeech(path: str):
     extract_archive(archive)
 
 
-def download_vctk(path: str):
+def download_vctk(path: str, use_kaggle: Optional[bool] = False):
-    """Download and extract VCTK dataset
+    """Download and extract VCTK dataset.
 
     Args:
         path (str): path to the directory where the dataset will be stored.
+
+        use_kaggle (bool, optional): Downloads vctk dataset from kaggle. Is generally faster. Defaults to False.
     """
+    if use_kaggle:
+        download_kaggle_dataset("mfekadu/english-multispeaker-corpus-for-voice-cloning", "VCTK", path)
+    else:
         os.makedirs(path, exist_ok=True)
         url = "https://datashare.ed.ac.uk/bitstream/handle/10283/3443/VCTK-Corpus-0.92.zip"
         download_url(url, path)
@@ -31,3 +37,90 @@ def download_vctk(path: str):
         archive = os.path.join(path, basename)
         print(" > Extracting archive file...")
         extract_archive(archive)
+
+
+def download_tweb(path: str):
+    """Download and extract Tweb dataset
+
+    Args:
+        path (str): Path to the directory where the dataset will be stored.
+    """
+    download_kaggle_dataset("bryanpark/the-world-english-bible-speech-dataset", "TWEB", path)
+
+
+def download_libri_tts(path: str, subset: Optional[str] = "all"):
+    """Download and extract libri tts dataset.
+
+    Args:
+        path (str): Path to the directory where the dataset will be stored.
+
+        subset (str, optional): Name of the subset to download. If you only want to download a certain
+        portion specify it here. Defaults to 'all'.
+    """
+
+    subset_dict = {
+        "libri-tts-clean-100": "http://www.openslr.org/resources/60/train-clean-100.tar.gz",
+        "libri-tts-clean-360": "http://www.openslr.org/resources/60/train-clean-360.tar.gz",
+        "libri-tts-other-500": "http://www.openslr.org/resources/60/train-other-500.tar.gz",
+        "libri-tts-dev-clean": "http://www.openslr.org/resources/60/dev-clean.tar.gz",
+        "libri-tts-dev-other": "http://www.openslr.org/resources/60/dev-other.tar.gz",
+        "libri-tts-test-clean": "http://www.openslr.org/resources/60/test-clean.tar.gz",
+        "libri-tts-test-other": "http://www.openslr.org/resources/60/test-other.tar.gz",
+    }
+
+    os.makedirs(path, exist_ok=True)
+    if subset == "all":
+        for sub, val in subset_dict.items():
+            print(f" > Downloading {sub}...")
+            download_url(val, path)
+            basename = os.path.basename(val)
+            archive = os.path.join(path, basename)
+            print(" > Extracting archive file...")
+            extract_archive(archive)
+        print(" > All subsets downloaded")
+    else:
+        url = subset_dict[subset]
+        download_url(url, path)
+        basename = os.path.basename(url)
+        archive = os.path.join(path, basename)
+        print(" > Extracting archive file...")
+        extract_archive(archive)
+
+
+def download_thorsten_de(path: str):
+    """Download and extract Thorsten german male voice dataset.
+
+    Args:
+        path (str): Path to the directory where the dataset will be stored.
+    """
+    os.makedirs(path, exist_ok=True)
+    url = "https://www.openslr.org/resources/95/thorsten-de_v02.tgz"
+    download_url(url, path)
+    basename = os.path.basename(url)
+    archive = os.path.join(path, basename)
+    print(" > Extracting archive file...")
+    extract_archive(archive)
+
+
+def download_mailabs(path: str, language: str = "english"):
+    """Download and extract Mailabs dataset.
+
+    Args:
+        path (str): Path to the directory where the dataset will be stored.
+
+        language (str): Language subset to download. Defaults to english.
+    """
+    language_dict = {
+        "english": "https://data.solak.de/data/Training/stt_tts/en_US.tgz",
+        "german": "https://data.solak.de/data/Training/stt_tts/de_DE.tgz",
+        "french": "https://data.solak.de/data/Training/stt_tts/fr_FR.tgz",
+        "italian": "https://data.solak.de/data/Training/stt_tts/it_IT.tgz",
+        "spanish": "https://data.solak.de/data/Training/stt_tts/es_ES.tgz",
+    }
+    os.makedirs(path, exist_ok=True)
+    url = language_dict[language]
+    download_url(url, path)
+    basename = os.path.basename(url)
+    archive = os.path.join(path, basename)
+    print(" > Extracting archive file...")
+    extract_archive(archive)