Automatic ToBI prediction and alignment to speed manual labeling of prosody
Speech Communication - Special issue on speech annotation and corpus tools
Classification of prosodic events using Quantized Contour Modeling
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
SWITCHBOARD: telephone speech corpus for research and development
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Automatic Prosodic Event Detection Using Acoustic, Lexical, and Syntactic Evidence
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
A fuzzy classifier to deal with similarity between labels on automatic prosodic labeling
Computer Speech and Language
Glissando: a corpus for multidisciplinary prosodic studies in Spanish and Catalan
Language Resources and Evaluation
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A set of tools to analyze inconsistencies observed in a Cat_ToBI labeling experiment are presented. We formalize and use the metrics that are commonly used in inconsistency tests. The metrics are systematically applied to analyze the robustness of every symbol and every pair of transcribers. The results reveal agreement rates for this study that are comparable to previous ToBI inter-reliability tests. The inter-transcriber confusion rates are transformed into distance matrices to use multidimensional scaling for visualizing the confusion between the different ToBI symbols and the disagreement between the raters. Potential different labeling criteria are identified and subsets of symbols that are candidates to be fused are proposed.