@techreport{oai:ipsj.ixsq.nii.ac.jp:00218398,
 author = {森勢, 将雅 and Masanori, Morise},
 issue = {6},
 month = {Jun},
 note = {現在の音声合成研究者が論文に Vocoder と記載するとき，その多くは Deep neural network (DNN) を用いて何らかのパラメータから高品質な音声波形を生成する Neural vocoder を指すのではないだろうか．もしそうであれば，音声符号化という役割ではなく，高品質な音声を合成したいという高品質 Vocoder が持つ『黄金の精神』が，Neural vocoder 世代に受け継がれたことを意味する．本稿では，恐らく今後失われていくであろう伝統的な Vocoder の波形生成部のアルゴリズム，および一連の知識がまだ音声研究において役立つかという将来展望について紹介する．, When current speech synthesis researchers refer to Vocoder in their papers, they are most likely referring to Neural vocoder, which generates high-quality speech from parameters by using deep neural networks (DNN). If so, the “golden spirit” of a high-quality vocoder, which is to synthesize high-quality speech rather than play the role of speech encoding, has been passed on to the Neural vocoder generation. This paper presents the core algorithms in the waveform generation of traditional vocoder, which will probably be lost in the future, and prospects for how this body of knowledge can still be useful in speech research.},
 title = {Crazy vocoder は砕けない～でもちょっとくだけた未来の話を～},
 year = {2022}
}