<p>The content of this paper is the problem of environmental image denoising. In view of the characteristics of image Salt-and-pepper noise and Gaussian noise and the shortcomings of image denoising, image denoising algorithms are compared and tested in detail. Next, this article will analyze the problems in English classroom teaching. Due to the large number of students in traditional English classrooms, a single teacher cannot timely and effectively capture students’ emotional states. Cognitive barriers to new knowledge among learners can lead to negative emotional states and reduce learning efficiency. Therefore, using information technology to help teachers timely obtain information about students’ emotional states is an important research topic in current education. In this article, we will develop an English classroom language system based on a remote voice remote control system to study the emotional recognition of classroom students from different perspectives. This article systematically studies the denoising algorithm of environmental images and emotion recognition in English classroom teaching through a voice remote control system, and proposes specific research plans and practical measures for the future development of emotion recognition in English classroom teaching.</p>