Training Strategies for Automatic Song Writing: A Unified Framework Perspective

Author:

Qian Tao1,Shi Jiatong2,Guo Shuai1,Wu Peter2,Jin Qin1

Affiliation:

1. Renmin University of China,School of Information,P.R.China

2. Carnegie Mellon University,Language Technologies Institute,U.S.A.

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference28 articles.

1. Mass: Masked sequence to sequence pre-training for language generation;song;International Conference on Machine Learning,2019

2. PopMAG

3. Tonal harmony;quinn;The Oxford Handbook of Critical Concepts in Music Theory,2019

4. Speech Chain for Semi-Supervised Learning of Japanese-English Code-Switching ASR and TTS

5. Almost unsupervised text to speech and automatic speech recognition;ren;International Conference on Machine Learning,2019

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1. Bridging Speech and Textual Pre-Trained Models With Unsupervised ASR;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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