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In this paper, we ask whether vocal source features (pitch, shimmer, jitter,etc) can improve the performance of automatic sung speech recognition, arguingthat conclusions previously drawn from spoken speech studies may not be validin the sung speech domain. We first use a parallel singing/speaking corpus(NUS-48E) to illustrate differences in sung vs spoken voicing characteristicsincluding pitch range, syllables duration, vibrato, jitter and shimmer. We thenuse this analysis to inform speech recognition experiments on the sung speechDSing corpus, using a state of the art acoustic model and augmentingconventional features with various voice source parameters. Experiments are runwith three standard (increasingly large) training sets, DSing1 (15.1 hours),DSing3 (44.7 hours) and DSing30 (149.1 hours). Pitch combined with degree ofvoicing produces a significant decrease in WER from 38.1% to 36.7% whentraining with DSing1 however smaller decreases in WER observed when trainingwith the larger more varied DSing3 and DSing30 sets were not seen to bestatistically significant. Voicing quality characteristics did not improverecognition performance although analysis suggests that they do contribute toan improved discrimination between voiced/unvoiced phoneme pairs.

The Use of Voice Source Features for Sung Speech Recognition