Print Email Facebook Twitter Evaluation of phoneme recognition through TDNN-OPGRU on Mandarin speech Title Evaluation of phoneme recognition through TDNN-OPGRU on Mandarin speech Author van der Tang, Jordy (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Intelligent Systems) Contributor Feng, S. (mentor) Scharenborg, O.E. (mentor) Jonker, C.M. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract This research expands past research on implementing the TDNN-OPGRU network for Automatic Phoneme Recognition on Dutch speech by implementing and testing the TDNN-OPGRU network on Mandarin speech. The goal of this research is to investigate the performance of the TDNN-OPGRU architecture when decoding phonemes in Mandarin prepared and spontaneous speech. The difference in Phoneme Error Rate between prepared and spontaneous speech is being determined, and the effect that tones have on the PER is being investigated since Mandarin is a tonal language. The results are that a substantial amount of the PER comes from substitutions that are made where only the tone is incorrectly determined. However, tone does not appear to have an impact on the difference in PER between spontaneous and prepared speech since it is responsible for an similar amount of the substitutions in both types of speech. The inclusion of tone also causes the error rate of the TDNN-OPGRU architecture on base phonemes to increase. Subject Phoneme RecognitionNeural NetworkMandarin To reference this document use: http://resolver.tudelft.nl/uuid:6a4ba655-9ac0-4156-88a8-510683e642c4 Part of collection Student theses Document type bachelor thesis Rights © 2021 Jordy van der Tang Files PDF Research_Paper_4_.pdf 619.67 KB Close viewer /islandora/object/uuid:6a4ba655-9ac0-4156-88a8-510683e642c4/datastream/OBJ/view