Hi, I’m Jack

I'm a recent Ph.D graduate from The University of Sheffield from the Speech and Hearing group. I have research interests in automatic speech recognition and speech separation. Under the supervision of Prof. Jon Barker the research pertaining to my thesis has largely focused on methods for producing simulations that closely match the conditions of real environments in far-field speech recognition.

I have experience in teaching undergraduate and postgraduate labs covering a range of topics such as signal/speech processing, machine learning, genetic algorithms, and web development.

I also have industry experience in software engineering producing visualisation software for large-scale data in the renewable energy industry.

I'm looking for opportunities in industry that will allow me to exploit my academic interests as well as my software engineering background. I also have personal interests in photography and music so opportunities in those industries are also of interest.

My research

• Simulating realistic multiparty speech data for the development of distant microphone ASR systems. Thesis (2023)
• Modelling Turn-taking in Multispeaker Parties for Realistic Data Simulation. INTERSPEECH (2022)
• Auditory-based data augmentation for end-to-end automatic speech recognition. ICASSP (2022)
• Improved Simulation of Realistically-Spatialised Simultaneous Speech Using Multi-Camera Analysis in The CHiME-5 Dataset. ICASSP (2022)
• Simulating realistically-spatialised simultaneous speech using video-driven speaker detection and the CHiME-5 dataset. INTERSPEECH (2020)
• Using Video Information to Improve Automatic Speech Recognition in the Distant Microphone Scenario. UK Speech Poster (2019)
• PCA And Competitive Learning (2017)
• Sound Event Detection in Real Life Audio (2017)