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The Karl Eberhards Corpus of spontaneously spoken southern German in dialogues - audio and articulatory recordings
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DIMA – Annotation guidelines for German intonation
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Investigating dialectal differences using articulography
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Using generalized additive models and random forests to model prosodic prominence in German
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Word frequency, vowel length and vowel quality in speech production: An EMA study of the importance of experience
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Obtaining prominence judgments from naïve listeners – Influence of rating scales, linguistic levels and normalisation
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More on the Normalization of Syllable Prominence Ratings
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Comparing word and syllable prominence rated by naïve listeners
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On the normalization of syllable prominence ratings
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The effect of priming on the correlations between prominence ratings and acoustic features
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Evaluating different rating scales for obtaining judgments of syllable prominence from naïve listeners
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Automatic Prominence Annotation of a German Speech Synthesis Corpus: Towards Prominence-Based Prosody Generation for Unit Selection Synthesis
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The influence of top-down expectations on the perception of syllable prominence
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TreeBUGS. An R package for hierarchical multinomial-processing-tree modeling
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Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit