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A Modified Oesophageal Speech Enhancement Using Ephraim-Malah Filter For Robust Speech Recognition

机译:改进的食管语音增强,使用Ephraim-Malah滤波器进行鲁棒的语音识别

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This paper presents a modified Oesophageal Single Channel Speech Enhancement using Ephraim-Malah Filter for Robust Speech Recognition. An Oesophageal voice is due to the laryngectomy undergone by those persons with larynx cancer and it has extremely low intelligibility. This work was already proposed with a method of Kalman Filtering technique to improve the Speech Quality. A Novel Approach to Enhance the Speech Quality with Ephraim-Malah fdter for Robust Speech Recognition is presented in this paper where we present a speech-to-text system using isolated word recognition with voice samples in English (for the words Eight and Nine) and statistical modeling (Hidden Markov Model - HMM) for machine Speech Recognition.
机译:本文提出了一种改进的食管单通道语音增强,使用Ephraim-Malah滤波器进行鲁棒的语音识别。食道的声音是由于喉癌患者进行了喉切除术而导致的,其清晰度非常低。已经使用卡尔曼滤波技术的方法提出了这项工作,以提高语音质量。本文提出了一种使用Ephraim-Malah fdter增强语音质量的新颖方法,以实现稳健的语音识别,在此系统中,我们介绍了使用隔离的单词识别和英语语音样本(针对八个和九个单词)的语音转文本系统,以及机器语音识别的统计模型(隐马尔可夫模型-HMM)。

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