Two-microphone spatial filtering improves speech reception for cochlear-implant users in reverberant conditions with multiple noise sources.

Two-microphone spatial filtering improves speech reception for cochlear-implant users in reverberant conditions with multiple noise sources.
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DOI:
10.1177/2331216514555489
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发表时间:
2014-10-20
期刊:
影响因子:
2.7
通讯作者:
Goldsworthy RL
Goldsworthy RL
中科院分区:
医学1区
文献类型:
--
作者:
Goldsworthy RL

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本研究评估了空间滤波算法作为一种改善人工耳蜗 (CI) 用户在具有多个噪声源的混响环境中语音接收的方法。该算法旨在利用耳后助听器胶囊中相距 1 厘米的两个麦克风之间的相位差来过滤声音。使用坐标响应测量方法在 27 种聆听条件下测量 6 位 CI 用户的语音接收阈值 (SRT),包括混响级别(T60= 0、270 和 540ms)、噪声源数量(1、4 和 11)以及信号处理算法(全向响应、偶极方向响应和空间滤波算法)的每种组合。噪声源是从电气和电子工程师协会句子录音中随机抽取的时间反转语音片段。使用房间模拟方法处理目标语音和噪声源,从而可以精确控制混响时间和声源位置。研究发现,与全向响应相比,空间滤波算法可在整个聆听条件下将 SRT 提高 6.5 至 11.0dB。该结果表明,即使在具有多个噪声源的高混响条件下,这种基于相位的空间滤波也可以改善 CI 用户的语音接收。
This study evaluates a spatial-filtering algorithm as a method to improve speech reception for cochlear-implant (CI) users in reverberant environments with multiple noise sources. The algorithm was designed to filter sounds using phase differences between two microphones situated 1 cm apart in a behind-the-ear hearing-aid capsule. Speech reception thresholds (SRTs) were measured using a Coordinate Response Measure for six CI users in 27 listening conditions including each combination of reverberation level (T60 = 0, 270, and 540 ms), number of noise sources (1, 4, and 11), and signal-processing algorithm (omnidirectional response, dipole-directional response, and spatial-filtering algorithm). Noise sources were time-reversed speech segments randomly drawn from the Institute of Electrical and Electronics Engineers sentence recordings. Target speech and noise sources were processed using a room simulation method allowing precise control over reverberation times and sound-source locations. The spatial-filtering algorithm was found to provide improvements in SRTs on the order of 6.5 to 11.0 dB across listening conditions compared with the omnidirectional response. This result indicates that such phase-based spatial filtering can improve speech reception for CI users even in highly reverberant conditions with multiple noise sources.
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