ICAGC 2024: Inspirational and Convincing Audio Generation Challenge 2024
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arXiv
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866911973291065344 |
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| author | Fu, Ruibo Liu, Rui Qiang, Chunyu Gao, Yingming Lu, Yi Shi, Shuchen Wang, Tao Li, Ya Wen, Zhengqi Zhang, Chen Bu, Hui Liu, Yukun Qi, Xin Li, Guanjun |
| author_facet | Fu, Ruibo Liu, Rui Qiang, Chunyu Gao, Yingming Lu, Yi Shi, Shuchen Wang, Tao Li, Ya Wen, Zhengqi Zhang, Chen Bu, Hui Liu, Yukun Qi, Xin Li, Guanjun |
| contents | The Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC 2024) is part of the ISCSLP 2024 Competitions and Challenges track. While current text-to-speech (TTS) technology can generate high-quality audio, its ability to convey complex emotions and controlled detail content remains limited. This constraint leads to a discrepancy between the generated audio and human subjective perception in practical applications like companion robots for children and marketing bots. The core issue lies in the inconsistency between high-quality audio generation and the ultimate human subjective experience. Therefore, this challenge aims to enhance the persuasiveness and acceptability of synthesized audio, focusing on human alignment convincing and inspirational audio generation. A total of 19 teams have registered for the challenge, and the results of the competition and the competition are described in this paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_12038 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ICAGC 2024: Inspirational and Convincing Audio Generation Challenge 2024 Fu, Ruibo Liu, Rui Qiang, Chunyu Gao, Yingming Lu, Yi Shi, Shuchen Wang, Tao Li, Ya Wen, Zhengqi Zhang, Chen Bu, Hui Liu, Yukun Qi, Xin Li, Guanjun Audio and Speech Processing Artificial Intelligence The Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC 2024) is part of the ISCSLP 2024 Competitions and Challenges track. While current text-to-speech (TTS) technology can generate high-quality audio, its ability to convey complex emotions and controlled detail content remains limited. This constraint leads to a discrepancy between the generated audio and human subjective perception in practical applications like companion robots for children and marketing bots. The core issue lies in the inconsistency between high-quality audio generation and the ultimate human subjective experience. Therefore, this challenge aims to enhance the persuasiveness and acceptability of synthesized audio, focusing on human alignment convincing and inspirational audio generation. A total of 19 teams have registered for the challenge, and the results of the competition and the competition are described in this paper. |
| title | ICAGC 2024: Inspirational and Convincing Audio Generation Challenge 2024 |
| topic | Audio and Speech Processing Artificial Intelligence |
| url | https://arxiv.org/abs/2407.12038 |