Name
Title | ||
|---|---|---|
Automatic Detection of Laryngeal Pathology on Sustained Vowels Using Short-Term Cepstral Parameters: Analysis of Performance and Theoretical Justification |
Abstract | ||
|---|---|---|
The majority of speech signal analysis procedures for automatic detection of laryngeal pathologies mainly rely on parameters extracted from time-domain processing. Moreover, calculation of these parameters often requires prior pitch period estimation; therefore, their validity heavily depends on the robustness of pitch detection. Within this paper, an alternative approach based on cepstral-domain processing is presented which has the advantage of not requiring pitch estimation, thus providing a gain in both simplicity and robustness. While the proposed scheme is similar to solutions based on Mel-frequency cepstral parameters, already present in literature, it has an easier physical interpretation while achieving similar performance standards. |
Year | Venue | Keywords |
|---|---|---|
2008 | BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES | signal analysis,time domain |
DocType | Volume | ISSN |
Conference | 25 | 1865-0929 |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubén Fraile | 1 | 52 | 11.93 |
| Juan Ignacio Godino-Llorente | 2 | 182 | 30.35 |
| Nicolás Sáenz-Lechón | 3 | 173 | 17.21 |
| Víctor Osma-Ruiz | 4 | 164 | 17.26 |
| Pedro Gómez Vilda | 5 | 289 | 52.48 |