Summary of the paper
| Title | The RATS Collection: Supporting HLT Research with Degraded Audio Data |
|---|---|
| Authors | David Graff, Kevin Walker, Stephanie Strassel, Xiaoyi Ma, Karen Jones and Ann Sawyer |
| Abstract | The DARPA RATS program was established to foster development of language technology systems that can perform well on speaker-to-speaker communications over radio channels that evince a wide range in the type and extent of signal variability and acoustic degradation. Creating suitable corpora to address this need poses an equally wide range of challenges for the collection, annotation and quality assessment of relevant data. This paper describes the LDC’s multi-year effort to build the RATS data collection, summarizes the content and properties of the resulting corpora, and discusses the novel problems and approaches involved in ensuring that the data would satisfy its intended use, to provide speech recordings and annotations for training and evaluating HLT systems that perform 4 specific tasks on difficult radio channels: Speech Activity Detection (SAD), Language Identification (LID), Speaker Identification (SID) and Keyword Spotting (KWS). |
| Topics | Speech Resource/Database, Language Identification |
Full paper  |
The RATS Collection: Supporting HLT Research with Degraded Audio Data |
| Bibtex | @InProceedings{GRAFF14.1125, author = {David Graff and Kevin Walker and Stephanie Strassel and Xiaoyi Ma and Karen Jones and Ann Sawyer}, title = {The RATS Collection: Supporting HLT Research with Degraded Audio Data}, 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} } |