Name
Abstract | ||
|---|---|---|
This paper presents our study on the use of tone information in a large vocabulary for a Vietnamese continuous speech recognition system. Firstly, a new module of tone recognition using Hidden Markov model is presented. Then, a new methodology for integrating this module into the Speeral system is given. The experiments were implemented on VNSpeechCorpus. The results showed that the direct use of tone score in the Speeral system would increase the performance of the system, e.g., 28.6% relative reduction in word error rate. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/RIVF.2008.4586340 | RIVF |
Keywords | DocType | ISBN |
energy normalization,speech recognition,tone recognition,pitch contour,word error rate,speeral system,vietnamese speech,vietnamese continuous speech recognition,vnspeechcorpus,natural language processing,pitch normalization of tone,hidden markov models,hidden markov model | Conference | 978-1-4244-2380-4 |
Citations | PageRank | References |
4 | 0.57 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Quang Nguyen | 1 | 7 | 2.38 |
| Pascal Nocera | 2 | 70 | 10.86 |
| Eric Castelli | 3 | 79 | 16.36 |
| Van Loan Trinh | 4 | 19 | 4.62 |