Name
Abstract | ||
|---|---|---|
This paper presents initial experiments with the identification and automatic detection of parasitic sounds in speech signals. The main goal of this study is to identify such sounds in the source recordings for unit-selection-based speech synthesis systems and thus to avoid their unintended usage in synthesised speech. The first part of the paper describes the phonetic analysis and identification of parasitic phenomena in recordings of two Czech speakers. In the second part, experiments with the automatic detection of parasitic sounds using HMM-based and BVM classifiers are presented. The results are encouraging, especially those for glottalization phenomena. |
Year | Venue | Keywords |
|---|---|---|
2009 | INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | parasitic speech sound, linguistic naturalness, speech synthesis, unit selection, HMM, BVM |
Field | DocType | Citations |
Speech sounds,Glottalization,Speech processing,Czech,Speech synthesis,Computer science,Naturalness,Speech recognition,Hidden Markov model,Acoustic model | Conference | 2 |
PageRank | References | Authors |
0.41 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jindrich Matousek | 1 | 211 | 35.00 |
| Radek Skarnitzl | 2 | 16 | 5.34 |
| Pavel Machac | 3 | 5 | 0.86 |
| Jan Trmal | 4 | 235 | 20.91 |