{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:45:13Z","timestamp":1776887113824,"version":"3.51.2"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Despite the rapid development of neural vocoders in recent years, they usually suffer from some intrinsic challenges like opaque modeling, and parameter-performance trade-off. In this study, we propose an innovative time-frequency (T-F) domain-based neural vocoder to resolve the above-mentioned challenges. To be specific, we bridge the connection between the classical signal range-null decomposition (RND) theory and vocoder task, and the reconstruction of target spectrogram can be decomposed into the superimposition between the range-space and null-space, where the former is enabled by a linear domain shift from the original mel-scale domain to the target linear-scale domain, and the latter is instantiated via a learnable network for further spectral detail generation. Accordingly, we propose a novel dual-path framework, where the spectrum is hierarchically encoded\/decoded, and the cross- and narrow-band modules are elaborately devised for efficient sub-band  and sequential modeling. Comprehensive experiments are conducted on the LJSpeech and LibriTTS benchmarks. Quantitative and qualitative results show that while enjoying lightweight network parameters, the proposed approach yields state-of-the-art performance among existing advanced methods. Our code and the pretrained model weights are available at https:\/\/github.com\/Andong-Li-speech\/RNDVoC.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/904","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"8131-8140","source":"Crossref","is-referenced-by-count":1,"title":["Learning Neural Vocoder from Range-Null Space Decomposition"],"prefix":"10.24963","author":[{"given":"Andong","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Acoustics, Chinese Academy of Sciences"},{"name":"University of Chinese Academy of Sciences"}]},{"given":"Tong","family":"Lei","sequence":"additional","affiliation":[{"name":"Nanjing University"},{"name":"Tencent AI Lab"}]},{"given":"Zhihang","family":"Sun","sequence":"additional","affiliation":[{"name":"Tencent AI Lab"}]},{"given":"Rilin","family":"Chen","sequence":"additional","affiliation":[{"name":"Tencent AI Lab"}]},{"given":"Erwei","family":"Yin","sequence":"additional","affiliation":[{"name":"Defense Innovation Institute, Academy of Military Sciences"},{"name":"Tianjin Artificial Intelligence Innovation Center"}]},{"given":"Xiaodong","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Acoustics, Chinese Academy of Sciences"},{"name":"University of Chinese Academy of Sciences"}]},{"given":"Chengshi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Institute of Acoustics, Chinese Academy of Sciences"},{"name":"University of Chinese Academy of Sciences"}]}],"member":"10584","event":{"name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","theme":"Artificial Intelligence","location":"Montreal, Canada","acronym":"IJCAI-2025","number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2025,8,16]]},"end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:35:26Z","timestamp":1758627326000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/904"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/904","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}