Knowledge Commons of Institute of Automation,CAS
GCC-Speaker: Target Speaker Localization with Optimal Speaker-Dependent Weighting in Multi-Speaker Scenarios | |
Li GJ(李冠君); Liu WJ(刘文举); Yi JY(易江燕); Tao JH(陶建华) | |
2023-06 | |
会议名称 | 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
会议日期 | 2023年6月 |
会议地点 | 希腊罗得岛 |
摘要 | Existing noise-robust and reverberant-robust localization algorithms fail to localize the target speaker when interfering speakers are present. In this paper, we address the problem of localizing only the target speaker in multi-speaker scenarios and propose a target speaker localization algorithm, called GCC-speaker. Specifically, we modify the weighting of the generalized cross-correlation with phase transform (GCC-PHAT) algorithm and propose an optimal speaker-dependent weighting based on a novel localization-related loss function and data-driven training. The speaker-dependent weighting is responsible for guiding the GCC algorithm to obtain the optimal target speaker localization results. As for the loss function, we constrain the estimated GCC angular spectrum and the estimated direction of arrival (DOA) to be close to their ground truth values, respectively. The experimental results show the superiority of GCC-speaker compared to the existing target speaker localization algorithms for different signal-to-interference ratios, reverberation times and array geometries. |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 智能交互 |
国重实验室规划方向分类 | 语音语言处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57268 |
专题 | 多模态人工智能系统全国重点实验室 |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li GJ,Liu WJ,Yi JY,et al. GCC-Speaker: Target Speaker Localization with Optimal Speaker-Dependent Weighting in Multi-Speaker Scenarios[C],2023. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
23GCC-Speaker.pdf(3463KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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