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arXiv · 2410.23815

The NPU-HWC System for the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge

Dake Guo·Jixun Yao·Xinfa Zhu·Kangxiang Xia·Zhao Guo·Ziyu Zhang·Yao Wang·Jie Liu·Lei Xie
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Abstract

This paper presents the NPU-HWC system submitted to the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC). Our system consists of two modules: a speech generator for Track 1 and a background audio generator for Track 2. In Track 1, we employ Single-Codec to tokenize the speech into discrete tokens and use a language-model-based approach to achieve zero-shot speaking style cloning. The Single-Codec effectively decouples timbre and speaking style at the token level, reducing the acoustic modeling burden on the autoregressive language model. Additionally, we use DSPGAN to upsample 16 kHz mel-spectrograms to high-fidelity 48 kHz waveforms. In Track 2, we propose a background audio generator based on large language models (LLMs). This system produces scene-appropriate accompaniment descriptions, synthesizes background audio with Tango 2, and integrates it with the speech generated by our Track 1 system. Our submission achieves the second place and the first place in Track 1 and Track 2 respectively.

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Dake Guo, Jixun Yao, Xinfa Zhu, Kangxiang Xia, Zhao Guo, Ziyu Zhang, Yao Wang, Jie Liu, Lei Xie. 2024-10-31. The NPU-HWC System for the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge. https://arxiv.org/abs/2410.23815

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