In higher education there is an accessibility issue that exists for students who are hard-of-hearing. We proposed a method of manipulating an existing open source API to create an accessibility tool that will aid these students to still take part in lectures. We looked at existing research in speech recognition and discussed the methods, benefits and limitations of the current technology and looked at applications that exist already which are aimed towards assisting users in note-taking or ease-of-use. The development of our own system which aims to bridge this accessibility gap was detailed. After this, we then analysed the performance of our developed system and discuss its use and limitations.