A Noise Processing Method of the Speech Signal

机译：语音信号的噪声处理方法

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The speech signal is polluted by noises, the quality of speech signal drops, so the understandability reduces. That pre-processing the speech signal including noises, extracting the Mel-Frequency Cepstrum Coefficients that are more suitable for the human auditory characteristic is necessary for obtaining the purer speech signal and improving the recognition ratio. In experiment, we use the neural network as the recognition model,meanwhile make comparison in recognition ratio between the Linear Prediction Coefficients. The results prove the MFCC can filter the noises efficiently achieved in your work. Adhere to the line spacing given in this document.

机译：语音信号被噪声污染，语音信号质量下降，因此易懂性降低。为了获得更纯净的语音信号并提高识别率，需要对包括噪声的语音信号进行预处理，提取出更适合人类听觉特征的梅尔频率倒谱系数。在实验中，我们使用神经网络作为识别模型，同时对线性预测系数之间的识别率进行比较。结果证明，MFCC可以有效过滤工作中产生的噪声。遵守本文档中给出的行距。

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《Advanced Computer Technology, New Education》|2006年|P.844-846|共3页
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作者
LIN Kunhui; XI Xiaojing; QIAN Yi;
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中图分类计算技术、计算机技术;
关键词
Neural Network; MeI-Frequency Cepstrum Coefficients (MFCC); Linear Prediction Coefficients (LPCC);

机译：神经网络;中频倒谱系数（MFCC）;线性预测系数（LPCC）;

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1. Effect of different signal-processing options on speech-in-noise recognition for Cochlear implant recipients with the Cochlear CP810 speech processor [J] . PottsL.G., KolbK.A. Journal of the American Academy of Audiology . 2014,第4期

机译：不同的信号处理选项对使用Cochlear CP810语音处理器的人工耳蜗植入者的噪声中语音识别的影响
2. Modelling, from physics to signal processing Segmentation and separation of speech and noise signals using coherence and power spectrum functions [J] . B. Albouy, Y. Devilte Revue de l'electricite et de l'electronique . 2003,第6a7期

机译：从物理到信号处理的建模使用相干和功率谱功能对语音和噪声信号进行分割和分离
3. A study on methods to reduce sinusoidal noises superposing on speech signal [J] . Yuji Sugihara, Kensaku Fujii, Arata Kawamura, 電子情報通信学会技術研究報告. 応用音響. Engineering Acoustics . 2002,第606期

机译：减少叠加在语音信号上的正弦噪声的方法研究
4. SIGNAL PROCESSING FOR NOISE CANCELLATION METHOD OF SPEECH SIGNAL BY USING AN EXTENSION TYPE UKF [C] . Hisako Orimoto, Akira ikuta, Hitomi Yabu International Congress on Sound and Vibration . 2018

机译：通过使用扩展型UKF的语音信号噪声消除方法的信号处理
5. Signal processing strategies for better melody recognition and improved speech understanding in noise for cochlear implants. [D] . Kasturi, Kalyan S. 2006

机译：信号处理策略可更好地识别旋律，并改善人工耳蜗噪声中的语音理解能力。
6. Evaluating time-reversed speech and signal-correlated noise as auditory baselines for isolating speech-specific processing using fNIRS [O] . Faizah Mushtaq, Ian M. Wiggins, Pádraig T. Kitterick, 2012

机译：将时间反转的语音和与信号相关的噪声评估为听觉基准，以便使用fNIRS隔离特定于语音的处理
7. ETSI and ITU Voice Activity Detection Algorithms: a comparative study of their accuracy in processing English and Mandarin speech under varying noise and signal-to-noise ratio conditions [O] . Winter Joseph Engineering Information Technology UNSW Canberra UNSW 2012

机译：ETSI和ITU语音活动检测算法：在变化的噪声和信噪比条件下处理英语和普通话的准确性的比较研究
8. Removal of Noise from Noise-Degraded Speech Signals. Panel on Removal of Noise from a Speech/Noise Signal [R] . 1989

机译：降低噪声降级语音信号的噪声。消除语音/噪音信号噪音的小组

A Noise Processing Method of the Speech Signal

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