Anna Eva Hallin

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We investigate grammatical error detection in spoken language, and present a data-driven method to train a dependency parser to automatically identify and label grammatical errors. This method is agnostic to the label set used, and the only manual annotations needed for training are grammatical error labels. We find that the proposed system is robust to(More)
Reference data for speech range profiles (SRP), voice range profiles (VRP), and Voice Handicap Index (VHI) are presented for Swedish males (n = 30). For comparisons, individual data for four male contact granuloma patients are also reported. For the vocally healthy group mean values were: speaking fundamental frequency 123 Hz (SD 12.1), speaking equivalent(More)
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