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A comparison of two perceptual voice evaluation training programs for naive listeners
Karen M K Chan1, Edwin M-L Yiu
1Voice Research Laboratory, Division of Speech & Hearing Sciences, The University of Hong Kong, Pokfulam, Hong Kong. karencmk@graduate.hku.hk
Journal of Voice : Official Journal of the Voice Foundation
|September 6, 2005
Summary
Listener training significantly improves voice quality perception, particularly for detecting breathiness. While results were equivocal on the best training method, training is recommended before using advanced voice analysis techniques.
Area of Science:
- Speech and Hearing Sciences
- Acoustic Phonetics
- Perceptual Voice Evaluation
Background:
- Traditional clinical perceptual voice evaluation faces reliability concerns.
- Methods like references, training, and analysis-by-synthesis have been proposed to enhance reliability.
- Direct comparisons of these reliability-enhancing methods are lacking.
Purpose of the Study:
- To compare the effectiveness of two listener training programs (anchors method vs. paired comparison method).
- To improve naive listeners' ability to detect subtle differences in voice breathiness.
- To contribute to the theoretical framework of voice quality perception.
Main Methods:
- Two distinct listener training programs were implemented: an anchors method and a paired comparison method.
- Trained naive listeners were assessed on their ability to detect subtle voice breathiness.
- Statistical analysis was used to compare listener performance before and after training.
Main Results:
- Listeners demonstrated significant improvement in detecting voice breathiness after undergoing training.
- The study yielded equivocal results regarding the comparative effectiveness of the anchors method versus the paired comparison method.
- A need for listener training prior to employing the analysis-by-synthesis method was suggested.
Conclusions:
- Listener training enhances perceptual voice analysis, particularly for subtle acoustic cues like breathiness.
- Further research is needed to determine the optimal training methodology for voice perception tasks.
- Findings support an exemplar-based approach to understanding the internal representations of voice quality.