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Automatic Prosody Quality Evaluation of Mandarin Speech

Prosody evaluation is an essential part of computer-aided language learning system. In the paper, we investigate an automatic prosody evaluation method for Mandarin speech. The method is based on prosody comparison between the tested and standard utterance. The prosodic similarities are calculated from three aspects: tone, intonation and rhythm. Based on these similarities, a ranking algorithm named SVOR is proposed and investigated to predict the prosody quality score. The algorithm is evaluated on the collected database and it shows better performance than other well-known algorithms. In addition, detailed analyses of human scoring at the sentence-level are given.