Adapting TTS models For New Speakers using Transfer Learning. (arXiv:2110.05798v2 [cs.SD] UPDATED)

Training neural text-to-speech (TTS) models for a new speaker typically
requires several hours of high quality speech data. Prior works on voice
cloning attempt to address this challenge by adapting pre-trained multi-speaker
TTS models for a new voice, using a few minutes of speech data of the new
speaker. However, publicly available large multi-speaker datasets are often
noisy, thereby resulting in TTS models that are not suitable for use in
products. We address this challenge by proposing transfer-learning guidelines
for …

arxiv learning transfer learning tts