Automatic prosodic labeling of 6 languages
نویسندگان
چکیده
This contribution describes a method for the automatic prosodic labeling of multi-lingual speech data. The prosodic labels are word boundary strength and word prominence. The speech signal and its orthographic representation are first transformed to feature vectors comprising acoustic and linguistic features such as pitch, duration, energy, part-of-speech, punctuation, word frequency and stress. Next, the feature vectors are mapped to prosodic labels via a cascade of multi-layer perceptrons. Experiments on 6 different languages demonstrate that combining acoustic with linguistic features yields a better performance than obtainable on the basis of acoustic features alone.
منابع مشابه
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