Listen audio samples from here -> WaveNetVocoderSamples

Audio examples are in wav/<speaker_name>/<method>/arctic_<utt_id>.wav

• <speaker_id>: the name of speaker in CMU Arctic database
  • bdl, rms: male speaker
  • slt, clb: female speaker
• <method> : the name of method
  • raw: target speech
  • straight: the conventional vocoder with F0, straight-melcep, aperiodicity
  • sd: the speaker-dependent WaveNet vocoder
  • sc_close: the WaveNet vocoder with speaker-code trained using utterances of all of the speakers
  • si_close: the WaveNet vocoder trained using utterances of all of the speakers
  • si_open: the WaveNet vocoder trained using utterances of all of the speakers except for evaluation speakers

• #evaluation speakers=4
• #evaluation utts per speaker=40
• #subjects=9
• #evaluation utts per subject=120

@article{hayashi2018sp,
  title={複数話者WaveNetボコーダに関する調査}.
  author={林知樹 and 小林和弘 and 玉森聡 and 武田一哉 and 戸田智基},
  journal={電子情報通信学会技術研究報告},
  year={2018}
}
@article{hayashi2017multi,
  title={An Investigation of Multi-Speaker Training for WaveNet Vocoder},
  author={Hayashi, Tomoki and Tamamori, Akira and Kobayashi, Kazuhiro and Takeda, Kazuya and Toda, Tomoki},
  journal={Proc. ASRU 2017},
  year={2017}
}
@inproceedings{tamamori2017speaker,
  title={Speaker-dependent WaveNet vocoder},
  author={Tamamori, Akira and Hayashi, Tomoki and Kobayashi, Kazuhiro and Takeda, Kazuya and Toda, Tomoki},
  booktitle={Proceedings of Interspeech},
  pages={1118--1122},
  year={2017}
}

Tomoki Hayashi @ Nagoya University
email: hayashi.tomokig.sp.m.is.nagoya-u.ac.jp