The paper presents our approach towards building a tool for speech corpus collection of a specific domain content. We describe our iterative approach to the development of this tool, with focus on the most problematic issues at each working stage. Our latest version synchronizes VoIP call management and recording with a web application providing content. The tool was already used and applied for Polish to gather 63 hours of automatically annotated recordings across several domains. Amongst them, we obtained a continuous speech corpus designed with an emphasis on optimal phonetic diversification in relation to the phonetically balanced National Corpus of Polish. We evaluate the usefulness of this data against the GlobalPhone corpus in the task of training an acoustic model for a telephone speech ASR system and show that the model trained on our balanced corpus achieves significantly lower WER in two grammar-based speech recognition tasks - street names and public transport routes numbers.
@InProceedings{ZIÓŁKO18.50, author = {Bartosz Ziółko and Piotr Żelasko and Ireneusz Gawlik and Tomasz Pędzimąż and Tomasz Jadczyk}, title = "{An Application for Building a Polish Telephone Speech Corpus}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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