@inproceedings{zgank-etal-2016-si,
    title = "The {SI} {TED}x-{UM} speech database: a new {S}lovenian Spoken Language Resource",
    author = "{\v{Z}}gank, Andrej  and
      Mau{\v{c}}ec, Mirjam Sepesy  and
      Verdonik, Darinka",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-emnlp/L16-1740/",
    pages = "4670--4673",
    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."
}Markdown (Informal)
[The SI TEDx-UM speech database: a new Slovenian Spoken Language Resource](https://preview.aclanthology.org/ingest-emnlp/L16-1740/) (Žgank et al., LREC 2016)
ACL