Summary of the paper

Title The SI TEDx-UM speech database: a new Slovenian Spoken Language Resource
Authors Andrej Zgank, Mirjam Sepesy Maucec and Darinka Verdonik
Abstract This paper presents a new Slovenian spoken language resource built from TEDx Talks. The speech database contains 242 talks in total duration of 54 hours. The annotation and transcription of acquired spoken material was generated automatically, applying acoustic segmentation and automatic speech recognition. The development and evaluation subset was also manually transcribed using the guidelines specified for the Slovenian GOS corpus. The manual transcriptions were used to evaluate the quality of unsupervised transcriptions. The average word error rate for the SI TEDx-UM evaluation subset was 50.7%, with out of vocabulary rate of 24% and language model perplexity of 390. The unsupervised transcriptions contain 372k tokens, where 32k of them were different.
Topics Speech Resource/Database, Speech Recognition/Understanding, Acquisition
Full paper The SI TEDx-UM speech database: a new Slovenian Spoken Language Resource
Bibtex @InProceedings{ZGANK16.736,
  author = {Andrej Zgank and Mirjam Sepesy Maucec and Darinka Verdonik},
  title = {The SI TEDx-UM speech database: a new Slovenian Spoken Language Resource},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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