Summary of the paper
| Title | Free English and Czech Telephone Speech Corpus Shared Under the CC-BY-SA 3.0 License |
|---|---|
| Authors | Matěj Korvas, Ondřej Plátek, Ondřej Dušek, Lukáš Žilka and Filip Jurčíček |
| Abstract | We present a dataset of telephone conversations in English and Czech, developed for training acoustic models for automatic speech recognition (ASR) in spoken dialogue systems (SDSs). The data comprise 45 hours of speech in English and over 18 hours in Czech. Large part of the data, both audio and transcriptions, was collected using crowdsourcing, the rest are transcriptions by hired transcribers. We release the data together with scripts for data pre-processing and building acoustic models using the HTK and Kaldi ASR toolkits. We publish also the trained models described in this paper. The data are released under the CC-BY-SA~3.0 license, the scripts are licensed under Apache~2.0. In the paper, we report on the methodology of collecting the data, on the size and properties of the data, and on the scripts and their use. We verify the usability of the datasets by training and evaluating acoustic models using the presented data and scripts. |
| Topics | Speech Recognition/Understanding, Dialogue |
Full paper  |
Free English and Czech Telephone Speech Corpus Shared Under the CC-BY-SA 3.0 License |
| Bibtex | @InProceedings{KORVAS14.535, author = {Matěj Korvas and Ondřej Plátek and Ondřej Dušek and Lukáš Žilka and Filip Jurčíček}, title = {Free English and Czech Telephone Speech Corpus Shared Under the CC-BY-SA 3.0 License}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |