Fast joint DOA and pitch estimation using a broadband MVDR beamformer

Sam Karimian-Azari, J. Jensen, M. G. Christensen
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引用次数: 14

Abstract

The harmonic model, i.e., a sum of sinusoids having frequencies that are integer multiples of the pitch, has been widely used for modeling of voiced speech. In microphone arrays, the direction-of-arrival (DOA) adds an additional parameter that can help in obtaining a robust procedure for tracking non-stationary speech signals in noisy conditions. In this paper, a joint DOA and pitch estimation (JDPE) method is proposed. The method is based on the minimum variance distortionless response (MVDR) beamformer in the frequency-domain and is much faster than previous joint methods, as it only requires the computation of the optimal filters once per segment. To exploit that both pitch and DOA evolve piece-wise smoothly over time, we also extend a dynamic programming approach to joint smoothing of both parameters. Simulations show the proposed method is much more robust than parallel and cascaded methods combining existing DOA and pitch estimators.
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宽带MVDR波束形成器的快速联合DOA和pitch估计
谐波模型,即频率为音高整数倍的正弦波的和,已被广泛用于浊音的建模。在麦克风阵列中,到达方向(DOA)增加了一个额外的参数,可以帮助获得在噪声条件下跟踪非平稳语音信号的鲁棒过程。本文提出了一种联合DOA和pitch估计(JDPE)方法。该方法基于频域最小方差无失真响应(MVDR)波束形成,每段只需要计算一次最优滤波器,比以往的联合方法快得多。为了利用节距和DOA随时间的分段平滑发展,我们还扩展了一种动态规划方法来对这两个参数进行联合平滑。仿真结果表明,该方法的鲁棒性优于现有的DOA和pitch估计方法的并行和级联方法。
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