Through the advancement in natural language processing (NLP), specifically in speech recognition, fully automated complex systems functioning on voice input have started proliferating in areas such as home automation. These systems have been termed Automatic Speech Recognition Systems (ASR). In this review paper, we explore the feasibility of an end-to-end system providing speech and text based natural language processing for job interview preparation as well as recommendation of relevant job postings. We also explore existing recommender-based systems and note their limitations. This literature review would help us identify the approaches and limitations of the various similar use-cases of NLP technology for our upcoming project.

翻译：随着自然语言处理（NLP）技术的发展，特别是在语音识别领域的进步，基于语音输入的完全自动化复杂系统已开始在家庭自动化等领域广泛普及。这类系统被称为自动语音识别系统（ASR）。在本综述论文中，我们探讨了构建一个端到端系统的可行性，该系统能够为求职面试准备提供基于语音和文本的自然语言处理功能，并推荐相关职位信息。同时，我们回顾了现有的推荐系统，并指出了其局限性。本文献综述将有助于我们在未来项目中识别NLP技术在各类相似应用场景中的方法与局限。