Name
Title | ||
|---|---|---|
Spectral Mapping Using Prior Re-Estimation of i-Vectors and System Fusion for Voice Conversion. |
Abstract | ||
|---|---|---|
In this paper, we propose a new voice conversion (VC) method using i-vectors which consider low-dimensional representation of speech utterances. An attempt is made to restrict the i-vector variability in the intermediate computation of total variability (T) matrix by using a novel approach that uses modified-prior distribution of the intermediate i-vectors. This T-modification improves the speaker... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TASLP.2017.2743620 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Speech,Estimation,Spectrogram,Covariance matrices,Training data,Speech processing,Training | Moderately Better,Speech processing,Quality Score,Pattern recognition,Spectrogram,Computer science,Matrix (mathematics),Speech recognition,Artificial intelligence,Spectrum analyzer,Mixture model,Computation | Journal |
Volume | Issue | ISSN |
25 | 11 | 2329-9290 |
Citations | PageRank | References |
0 | 0.34 | 37 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monisankha Pal | 1 | 25 | 2.41 |
| Goutam Saha | 2 | 255 | 23.17 |