Name
Abstract | ||
|---|---|---|
This work presents a spoken document summarization (SDS) scheme that is based on an improved version of the Dynamic Time Warping (DTW) algorithm, and on the Discrete Wavelet Transform (DWT). Tests and results with sentences extracted from TIMIT speech corpus show the efficacy of the proposed technique. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1142/S1793351X07000214 | INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING |
Keywords | Field | DocType |
Spoken document summarization, dynamic time warping, discrete wavelet transform, semantic information | Speech corpus,Automatic summarization,TIMIT,Dynamic time warping,Pattern recognition,Computer science,Semantic information,Document summarization,Speech recognition,Discrete wavelet transform,Artificial intelligence,Wavelet | Journal |
Volume | Issue | ISSN |
1 | 3 | 1793-351X |
Citations | PageRank | References |
1 | 0.40 | 3 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Capobianco Guido | 1 | 161 | 27.59 |
| Sylvio Barbon Júnior | 2 | 50 | 14.05 |
| Lucimar Sasso Vieira | 3 | 20 | 4.85 |
| Fabrício Lopes Sanchez | 4 | 20 | 3.16 |
| Carlos Dias Maciel | 5 | 109 | 18.95 |
| Paulo Rogério Scalassara | 6 | 64 | 6.77 |
| Jose Carlos Pereira | 7 | 26 | 6.02 |
| Vitor Muller Puia | 8 | 1 | 0.40 |