Name
Abstract | ||
|---|---|---|
Provides an overview of a speech-to-text (STT) and keyword search (KWS) system architecture build primarily on the top of the Kaldi toolkit and expands on a few highlights. The system was developed as a part of the research efforts of the Radical team while participating in the IARPA Babel program. Our aim was to develop a general system pipeline which could be easily and rapidly deployed in any language, independently on the language script and phonological and linguistic features of the language. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SLT.2014.7078630 | Spoken Language Technology Workshop |
Keywords | Field | DocType |
feature extraction,natural languages,speech recognition,speech-based user interfaces,IARPA Babel program,KWS system architecture,Kaldi toolkit,Radical team,STT system architecture,keyword search system,keyword search system architecture,language script,linguistic features,open source software,phonological features,speech-to-text system architecture,IARPA BABEL,Kaldi,OpenKWS,deep neural networks,keyword search,pitch,speech recognition,spoken term detection | Computer science,Keyword search,Speech recognition,Natural language processing,Artificial intelligence,Systems architecture,Open source software,Deep neural networks | Conference |
ISSN | Citations | PageRank |
2639-5479 | 13 | 0.65 |
References | Authors | |
12 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Trmal | 1 | 235 | 20.91 |
| Guoguo Chen | 2 | 428 | 19.89 |
| Daniel Povey | 3 | 2442 | 231.75 |
| Sanjeev Khudanpur | 4 | 2155 | 202.00 |
| Pegah Ghahremani | 5 | 99 | 7.09 |
| Xiaohui Zhang | 6 | 194 | 19.81 |
| Vimal Manohar | 7 | 54 | 7.99 |
| Chunxi Liu | 8 | 23 | 3.28 |
| Lorena Álvarez | 9 | 504 | 36.47 |
| dietrich klakow | 10 | 756 | 98.76 |
| David Yarowsky | 11 | 3986 | 618.81 |
| Florian Metze | 12 | 1069 | 106.49 |