Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision

20 November 2018

Papers citing "Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision"

7 / 7 papers shown

Title
Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion D. Ma Lester Phillip Violeta Kazuhiro Kobayashi T. Toda 29 6 0 19 Oct 2022
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training Kun Zhou Berrak Sisman Haizhou Li 23 27 0 31 Mar 2021
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 41 318 0 09 Aug 2020
Pretraining Techniques for Sequence-to-Sequence Voice Conversion Wen-Chin Huang Tomoki Hayashi Yi-Chiao Wu Hirokazu Kameoka T. Toda 27 38 0 07 Aug 2020
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data Seung-won Park Doo-young Kim Myun-chul Joe 26 40 0 07 May 2020
Emotional Voice Conversion using Multitask Learning with Text-to-speech Tae-Ho Kim Sungjae Cho Shinkook Choi Sejik Park Soo-Young Lee 27 37 0 11 Nov 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,929 0 17 Aug 2015