Name
Abstract | ||
|---|---|---|
In this paper we will investigate the usefulness of the rhythmogram, a speech rhythm representation based on the Auditory Primal Sketch model, for the automatic detection of prominent syllables. This representation was compared to other features usually used for this task and it showed a higher performance in the identification of prominent/non-prominent syllables. A new prominence detection algorithm is proposed, combining the rhythmogram and pitch features and tested on two corpora of Italian and French. The results obtained showed significant detection improvements with respect to other systems in the literature, 0.9% and 2.5% accuracy increase respectively. |
Year | Venue | Keywords |
|---|---|---|
2011 | 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 | syllabic prominence, rhythmogram |
Field | DocType | Citations |
Syllabic verse,Computer science,Speech recognition | Conference | 6 |
PageRank | References | Authors |
0.53 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bogdan Ludusan | 1 | 35 | 6.14 |
| Antonio Origlia | 2 | 50 | 13.99 |
| Francesco Cutugno | 3 | 76 | 18.01 |