Name
Title | ||
|---|---|---|
Articulatory Controllable Speech Modification Based on Statistical Inversion and Production Mappings. |
Abstract | ||
|---|---|---|
In this paper, we present an innovative way of utilizing the natural relationship between speech sounds and articulatory movements by developing an articulatory controllable speech modification system. Specifically, we employ statistical acoustic-to-articulatory inversion mapping and articulatory-to-acoustic production mapping based on a Gaussian mixture model, allowing flexible modification of th... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TASLP.2017.2753583 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Biology,Speech recognition,Gaussian mixture model,Statistical analysis,Signal analysis | Signal processing,Controllability,Pattern recognition,Inversion (meteorology),Computer science,Waveform,Naturalness,Filter (signal processing),Speech recognition,Artificial intelligence,Vowel,Mixture model | Journal |
Volume | Issue | ISSN |
25 | 12 | 2329-9290 |
Citations | PageRank | References |
0 | 0.34 | 30 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Lumban Tobing | 1 | 15 | 7.89 |
| Kobayashi, K. | 2 | 5 | 4.17 |
| Tomoki Toda | 3 | 1874 | 167.18 |