Improving Cross-lingual Speech Synthesis with Triplet Training Scheme

• URL: http://arxiv.org/abs/2202.10729v1
• Date: Tue, 22 Feb 2022 08:40:43 GMT
• Title: Improving Cross-lingual Speech Synthesis with Triplet Training Scheme
• Authors: Jianhao Ye, Hongbin Zhou, Zhiba Su, Wendi He, Kaimeng Ren, Lin Li, Heng Lu
• Abstract summary: Triplet training scheme is proposed to enhance the cross-lingual pronunciation. The proposed method brings significant improvement in both intelligibility and naturalness of the synthesized cross-lingual speech.
• Score: 5.470211567548067
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent advances in cross-lingual text-to-speech (TTS) made it possible to synthesize speech in a language foreign to a monolingual speaker. However, there is still a large gap between the pronunciation of generated cross-lingual speech and that of native speakers in terms of naturalness and intelligibility. In this paper, a triplet training scheme is proposed to enhance the cross-lingual pronunciation by allowing previously unseen content and speaker combinations to be seen during training. Proposed method introduces an extra fine-tune stage with triplet loss during training, which efficiently draws the pronunciation of the synthesized foreign speech closer to those from the native anchor speaker, while preserving the non-native speaker's timbre. Experiments are conducted based on a state-of-the-art baseline cross-lingual TTS system and its enhanced variants. All the objective and subjective evaluations show the proposed method brings significant improvement in both intelligibility and naturalness of the synthesized cross-lingual speech.

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