熟悉的说话人识别

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Pub Date : 2012-03-25 DOI:10.1109/ICASSP.2012.6288854

S. Wenndt, Ronald L. Mitchell

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引用次数: 2

摘要

从NIST的说话人识别评估中可以看出，机器对大群体的说话人识别效果非常好。然而，在不断变化的环境中，机器对说话人的识别可能很脆弱。这项研究考察了人类在不断变化的环境中识别熟悉的说话人的能力。此外，带宽限制噪声被用来试图了解哪些频率区域对人类听众识别熟悉的说话者很重要。

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Familiar speaker recognition

Speaker recognition by machines can be quite good for large groups as seen in NIST speaker recognition evaluations. However, speaker recognition by machine can be fragile for changing environments. This research examines how robust humans are for recognizing familiar speakers in changing environments. Additionally, bandlimited noise was used to try to learn what frequency regions are important for human listeners to recognize familiar speakers.

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2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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