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首页> 外文会议>2016 IEEE International Workshop on Acoustic Signal Enhancement >Under-modelled blind system identification for time delay estimation in reverberant environments
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Under-modelled blind system identification for time delay estimation in reverberant environments

机译：模型不足的盲系统识别，用于混响环境中的时延估计

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摘要

In multichannel systems, acoustic time delay estimation (TDE) is a challenging problem in reverberant environments. Although blind system identification (BSI) based methods have been proposed which utilize a realistic signal model for the room impulse response (RIR), their TDE performance depends strongly on that of the BSI, which is often inaccurate in practice when the identified responses are under-modelled. In this paper, we propose a new under-modelled BSI based method for TDE in reverberant environments. An under-modelled BSI algorithm is derived, which is based on maximizing the cross-correlation of the cross-filtered signals rather than minimizing the cross-relation error, and also exploits the sparsity of the early part of the RIR. For TDE, this new criterion can be viewed as a generalization of conventional cross-correlation-based TDE methods by considering a more realistic model for the early RIR. Depending on the microphone spacing, only a short early part of each RIR is identified, and the time delays are estimated based on the peak locations in the identified early RIRs. Experiments in different reverberant environments with speech source signals demonstrate the effectiveness of the proposed method.
机译：在多声道系统中，混响环境中的声音时间延迟估计（TDE）是一个具有挑战性的问题。尽管已经提出了基于盲系统识别（BSI）的方法，该方法利用真实的信号模型进行房间冲激响应（RIR），但是其TDE性能在很大程度上取决于BSI的性能，在实践中，当识别出的响应低于标准值时，这通常是不准确的-建模。在本文中，我们为混响环境中的TDE提出了一种新的，基于BSI的欠建模方法。推导了欠建模的BSI算法，该算法基于最大化交叉滤波信号的互相关而不是最小化互相关误差，并且还利用了RIR早期的稀疏性。对于TDE，通过考虑早期RIR的更实际模型，可以将此新标准视为常规基于互相关的TDE方法的概括。根据麦克风的间距，仅识别每个RIR的一小部分早期，并根据识别出的早期RIR中的峰值位置估算时间延迟。语音源信号在不同混响环境中的实验证明了该方法的有效性。

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