Dataset Groups Activity Stream Non-Attentive Tacotron Non-Attentive Tacotron is a neural text-to-speech model that combines a robust duration predictor with an autoregressive decoder. BibTex: @dataset{Jonathan_Shen_and_Ye_Jia_and_Mike_Chrzanowski_and_Yu_Zhang_and_Isaac_Elias_and_Heiga_Zen_and_Yonghui_Wu_2024, abstract = {Non-Attentive Tacotron is a neural text-to-speech model that combines a robust duration predictor with an autoregressive decoder.}, author = {Jonathan Shen and Ye Jia and Mike Chrzanowski and Yu Zhang and Isaac Elias and Heiga Zen and Yonghui Wu}, doi = {10.57702/zqlar2lx}, institution = {No Organization}, keyword = {'autoregressive decoder', 'duration predictor', 'non-attentive', 'tacotron'}, month = {dec}, publisher = {TIB}, title = {Non-Attentive Tacotron}, url = {https://service.tib.eu/ldmservice/dataset/non-attentive-tacotron}, year = {2024} }