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1
Investigating dialectal differences using articulography
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2
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 [Online resource]
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3
Lexical frequency co-determines the speed-curvature relation in articulation [Online resource]
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4
Using generalized additive models and random forests to model prosodic prominence in German [Online resource]
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5
Word frequency, vowel length and vowel quality in speech production: An EMA study of the importance of experience [Online resource]
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6
Investigating dialectal differences using articulography [Online resource]
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