Abstract
Tonal target detection is a very difficult task, especially in presence of consonantal perturbations. Though different detection methods have been adopted in tonal alignment research, we still do not know which is the most reliable. In our paper, we found that such methodological choices have serious theoretical implications. Interpretation of the data strongly depends on whether tonal targets have been detected by a manual, a semi-automatic or an automatic procedure. Moreover, different segmental classes can affect target placement especially in automatic detection. This suggests the importance of keeping segmental classes separate for the purpose of statistical analysis.
Original language | English (US) |
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Pages (from-to) | 2459-2462 |
Number of pages | 4 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
State | Published - 2009 |
Externally published | Yes |
Event | 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 - Brighton, United Kingdom Duration: Sep 6 2009 → Sep 10 2009 |
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction
- Signal Processing
- Software
- Sensory Systems
Keywords
- Low tones
- Neapolitan Italian
- Target detection methods
- Tonal alignment