Update tamil_eng_data.py

tamil_eng_data.py

@@ -12,33 +12,93 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Simple sentences Dataset - contains 90 mins of speech data"""
+"""Filtered Tamil ASR corpus collected from common_voice 11, fleurs, openslr65, openslr127 and ucla corpora filtered for duration between 5 - 25 secs"""
+
 
-import csv
 import json
 import os
 
 import datasets
 
 _CITATION = """\
-@misc{simpledata_1,
-  title = {Whisper model for tamil-to-eng translation},
-  publisher = {Achitha},
+@misc{mile_1,
+  doi = {10.48550/ARXIV.2207.13331},
+  url = {https://arxiv.org/abs/2207.13331},
+  author = {A, Madhavaraj and Pilar, Bharathi and G, Ramakrishnan A},
+  title = {Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada},
+  publisher = {arXiv},
+  year = {2022},
+}
+@misc{mile_2,
+  doi = {10.48550/ARXIV.2207.13333},
+  url = {https://arxiv.org/abs/2207.13333},
+  author = {A, Madhavaraj and Pilar, Bharathi and G, Ramakrishnan A},
+  title = {Knowledge-driven Subword Grammar Modeling for Automatic Speech Recognition in Tamil and Kannada},
+  publisher = {arXiv},
   year = {2022},
 }
-@misc{simpledata_2,
-  title = {Fine-tuning whisper model},
-  publisher = {Achitha},
+@inproceedings{he-etal-2020-open,
+    title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},
+    author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},
+    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+    month = may,
+    year = {2020},
+    address = {Marseille, France},
+    publisher = {European Language Resources Association (ELRA)},
+    pages = {6494--6503},
+    url = {https://www.aclweb.org/anthology/2020.lrec-1.800},
+    ISBN = "{979-10-95546-34-4},
+  }
+@misc{https://doi.org/10.48550/arxiv.2211.09536,
+  doi = {10.48550/ARXIV.2211.09536},
+  
+  url = {https://arxiv.org/abs/2211.09536},
+  
+  author = {Kumar, Gokul Karthik and S, Praveen and Kumar, Pratyush and Khapra, Mitesh M. and Nandakumar, Karthik},
+  
+  keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
+  
+  title = {Towards Building Text-To-Speech Systems for the Next Billion Users},
+  
+  publisher = {arXiv},
+  
   year = {2022},
+  
+  copyright = {arXiv.org perpetual, non-exclusive license}
+}
+@inproceedings{commonvoice:2020,
+  author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
+  title = {Common Voice: A Massively-Multilingual Speech Corpus},
+  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
+  pages = {4211--4215},
+  year = 2020
+}
+@misc{https://doi.org/10.48550/arxiv.2205.12446,
+  doi = {10.48550/ARXIV.2205.12446},
+  
+  url = {https://arxiv.org/abs/2205.12446},
+  
+  author = {Conneau, Alexis and Ma, Min and Khanuja, Simran and Zhang, Yu and Axelrod, Vera and Dalmia, Siddharth and Riesa, Jason and Rivera, Clara and Bapna, Ankur},
+  
+  keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
+  
+  title = {FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech},
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
 }
 """
+
 _DESCRIPTION = """\
-The data contains roughly one and half hours of audio and transcripts in Tamil language.
+The corpus contains roughly 1000 hours of audio and trasncripts in Tamil language. The transcripts have beedn de-duplicated using exact match deduplication.
 """
 
 _HOMEPAGE = ""
 
-_LICENSE = "MIT"
+_LICENSE = "https://creativecommons.org/licenses/"
 
 
 _METADATA_URLS = {
@@ -51,8 +111,8 @@ _URLS = {
     
 }
 
-class simple_data(datasets.GeneratorBasedBuilder):
-   
+class TamilASRCorpus(datasets.GeneratorBasedBuilder):
+    """Tamil ASR Corpus contains transcribed speech corpus for training ASR systems for Tamil language."""
 
     VERSION = datasets.Version("1.1.0")
     def _info(self):
@@ -62,7 +122,6 @@ class simple_data(datasets.GeneratorBasedBuilder):
                 "path": datasets.Value("string"),
                 "sentence": datasets.Value("string"),
                 "length": datasets.Value("float")
-               
             }
         )
         return datasets.DatasetInfo(