Analysis of the improvement path of English listening and speaking ability based on big data technology

Abstract In current English learning, listening, and speaking is an important part of learning. To cultivate students’ listening ability meet the demand for language communication improvement today, this paper uses big data technology as main support to recognize, noise reduction feature extraction input speech using recognition algorithm, elimination algorithm respectively. Obtain related abilities form systematic complete student data. Through preprocessing mining, it provides a basis decision making in teaching. According results analysis ability, percentage students who liked very much pre-test was 25% class, thought they could be optimistic about hardships learning 18%. After practicing path, percentages increased 38% 29%, The mean value at 20.23, which lower than post-test, 21.72. above experimental are sufficient show that development pathway can make more motivated enthusiastic speaking, thus improve their skills.