keshan commited on
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Update multispeaker-tts-sinhala.py

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  1. multispeaker-tts-sinhala.py +15 -17
multispeaker-tts-sinhala.py CHANGED
@@ -5,27 +5,26 @@ import os
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  import datasets
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  logger = datasets.logging.get_logger(__name__)
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- _DESCRIPTION = """\\nThis data set contains multi-speaker high quality transcribed audio data for Sinhalese. The data set consists of wave files, and a TSV file.
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  The file si_lk.lines.txt contains a FileID, which in tern contains the UserID and the Transcription of audio in the file.
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  The data set has been manually quality checked, but there might still be errors.
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- This dataset was collected by Google in Sri Lanka.
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  """
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  _CITATION = """
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- @inproceedings{kjartansson-etal-tts-sltu2018,
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- title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
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- author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},
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- booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
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- year = {2018},
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- address = {Gurugram, India},
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- month = aug,
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- pages = {66--70},
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- URL = {http://dx.doi.org/10.21437/SLTU.2018-14}
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  }
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  """
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  _URL = "https://www.openslr.org/30/"
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- _DATA_URL = "https://www.openslr.org/resources/30/si_lk.tar.gz"
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- _DATA_FILE_URL = "https://raw.githubusercontent.com/google/language-resources/master/si/data/prompts.tsv"
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  _LICENSE = "https://www.openslr.org/resources/30/LICENSE.txt"
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  _LANGUAGES = [
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  "si",
@@ -35,16 +34,15 @@ _LANGUAGES = [
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  class SiTTSConfig(datasets.BuilderConfig):
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  """BuilderConfig for SiTTS."""
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- def __init__(self, *args, languages, **kwargs):
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  """BuilderConfig for SiTTS.
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  Args:
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  languages (:obj:`List[str]`): list of languages to load
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  **kwargs: keyword arguments forwarded to super.
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  """
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  super().__init__(
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- *args, name="+".join(languages), **kwargs,
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  )
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- self.languages = languages
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  class SiTTS(datasets.GeneratorBasedBuilder):
@@ -90,7 +88,7 @@ class SiTTS(datasets.GeneratorBasedBuilder):
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  lines = f.readlines()
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  for id_, line in enumerate(lines):
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- id_value, sentence = line.strip().split('\t')
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  # sentence = re.findall(r'"(.*?)"', line)[0].strip()
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  # id_value = re.findall(r"(sin_[^\s]+)", line)[0]
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  file_path = "{0}.wav".format(id_value)
 
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  import datasets
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  logger = datasets.logging.get_logger(__name__)
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+ _DESCRIPTION = """\\nThis data set contains multi-speaker high quality transcribed audio data for Sinhala. The data set consists of wave files, and a TSV file.
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  The file si_lk.lines.txt contains a FileID, which in tern contains the UserID and the Transcription of audio in the file.
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  The data set has been manually quality checked, but there might still be errors.
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+ Part of this dataset was collected by Google in Sri Lanka and the rest was contributed by Path to Nirvana organization.
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  """
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  _CITATION = """
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+ @inproceedings{Sodimana2018,
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+ author={Keshan Sodimana and Pasindu {De Silva} and Supheakmungkol Sarin and Oddur Kjartansson and Martin Jansche and Knot Pipatsrisawat and Linne Ha},
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+ title={{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
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+ year=2018,
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+ booktitle={Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages},
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+ pages={66--70},
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+ doi={10.21437/SLTU.2018-14},
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+ url={http://dx.doi.org/10.21437/SLTU.2018-14}
 
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  }
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  """
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  _URL = "https://www.openslr.org/30/"
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+ _DATA_URL = "https://huggingface.co/datasets/keshan/wit-dataset/resolve/09d263477614f9fa8c8af0d8ad78f6d4e410a43c/data.tar.gz"
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+ _DATA_FILE_URL = "https://huggingface.co/datasets/keshan/wit-dataset/resolve/09d263477614f9fa8c8af0d8ad78f6d4e410a43c/file_index.tsv"
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  _LICENSE = "https://www.openslr.org/resources/30/LICENSE.txt"
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  _LANGUAGES = [
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  "si",
 
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  class SiTTSConfig(datasets.BuilderConfig):
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  """BuilderConfig for SiTTS."""
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+ def __init__(self, *args, **kwargs):
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  """BuilderConfig for SiTTS.
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  Args:
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  languages (:obj:`List[str]`): list of languages to load
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  **kwargs: keyword arguments forwarded to super.
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  """
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  super().__init__(
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+ *args, **kwargs,
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  )
 
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  class SiTTS(datasets.GeneratorBasedBuilder):
 
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  lines = f.readlines()
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  for id_, line in enumerate(lines):
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+ id_value, sentence = line.strip().split("\t")
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  # sentence = re.findall(r'"(.*?)"', line)[0].strip()
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  # id_value = re.findall(r"(sin_[^\s]+)", line)[0]
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  file_path = "{0}.wav".format(id_value)