Automatic speech recognition with robot noise

作者：Wang Jianrong; Zhang Ju; Lu Wenhuan; Wei Jianguo; Dang Jianwu

来源：Journal of Tsinghua University(Science and Technology), 2017, 57(2): 153-157.

DOI：10.16511/j.cnki.qhdxxb.2017.22.007

• Automatic speech recognition
• Cepstral
• CPU cooling
• Denoising methods
• Multi-condition trainings
• Spectral subtractions
• Substraction
• Target speech

Robots inevitably produce noise when they are moving any part of their body. Such noise is caused by the various body joint motors as well as the CPU cooling fans. Moreover, these noises are easily captured by the robots'microphones because they are closer to the microphones than the target speech source. This paper presents a de-noising method using the spectral subtraction, joint noise template substraction, labeled area cepstral mean substraction and multi-condition training to estimate and suppress robot noise. Tests show that this method significantly reduces the effect of robot noise which enhances the automatic speech recognition.

• 出版日期2017
• 单位天津大学