Name
Abstract | ||
|---|---|---|
Computer speech recognition has been very successful in limited domains and for isolated word recognition. However, widespread use of large-vocabulary continuous-speech recognizers is limited by the speed of current recognizers, which cannot reach acceptable error rates while running in real time. This paper shows how to harness shared memory multiprocessors, which are becoming increasingly common, to increase the speed significantly, and therefore the accuracy or vocabulary size, of a speech recognizer. To cover the necessary background, we begin with a tutorial on speech recognition. We then describe the parallelization of an existing high-quality speech recognizer, achieving a speedup of a factor of 3, 5, and 6 on 4-, 8-, and 12-processors respectively for the benchmark North American business news (NAB) recognition task. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1023/A:1018741730355 | International Journal of Parallel Programming |
Keywords | Field | DocType |
acceptable error rate,viterbi search,current recognizers,existing high-quality speech recognizer,shared memory,isolated word recognition,large-vocabulary continuous-speech recognizers,parallel speech recognition,speech recognition,computer speech recognition,speech recognizer,finite state automata.,recognition task,limited domain | Speech processing,Intelligent character recognition,Viseme,Computer science,Speech recognition,Speaker recognition,Speech technology,Acoustic model | Journal |
Volume | Issue | ISSN |
27 | 4 | 1573-7640 |
Citations | PageRank | References |
7 | 1.04 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven Phillips | 1 | 7 | 1.04 |
| Anne Rogers | 2 | 7 | 1.04 |