Name
Abstract | ||
|---|---|---|
•A two-step cascading reconstruction algorithm for converting whispered speech to normal speech based on a training-based approach is proposed.•To lessen the effect of inconsistent spectral features and time alignment between normal and whispered speech, an intermediary layer called “artificial whisper” (or whisperised speech) is introduced.•The results of subjective and objective evaluations are presented to compare the efficiency of the proposed algorithm with other computational methods and Electrolarynx. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compeleceng.2017.06.007 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Speech reconstruction,Whispers,Electrolarynx,Laryngectomy,Time alignment | Normal speech,Computer science,Voice activity detection,Whispering,Speech recognition,Exploit,Frame time,Electrolarynx,Speech reconstruction,Vocal tract | Journal |
Volume | ISSN | Citations |
62 | 0045-7906 | 1 |
PageRank | References | Authors |
0.38 | 10 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamid Reza Sharifzadeh | 1 | 31 | 2.76 |
| Amir HajiRassouliha | 2 | 11 | 4.85 |
| Ian Vince McLoughlin | 3 | 233 | 38.08 |
| Iman Tabatabaei Ardekani | 4 | 14 | 7.61 |
| Jacqueline E. Allen | 5 | 2 | 0.75 |
| Abdolhossein Sarrafzadeh | 6 | 134 | 22.64 |