This project is under construction and not yet ready for everyday use. Please contact us by email at elpis.asr@gmail.com to be informed when a stable version is ready.
Elpis is a tool which allows language workers with minimal computational experience to build their own speech recognition models to automatically transcribe audio. It relies on the Kaldi automatic speech recognition (ASR) toolkit. Kaldi is notorious for being difficult to build, use and navigate - even for trained computer scientists. The goal of Elpis is to expose the power of Kaldi to linguists and language workers by abstracting away much of the needless technical complexity.
This software is the product of academic research funded by the Australian Research Council Centre of Excellence for the Dynamics of Language. If you use the software in an academic setting, please cite it appropriately as follows:
Foley, B., Arnold, J., Coto-Solano, R., Durantin, G., Ellison, T. M., van Esch, D., Heath, S., KratochvÃl, F., Maxwell-Smith, Z., Nash, D., Olsson, O., Richards, M., San, N., Stoakes, H., Thieberger, N. & Wiles, J. (2018). Building Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (Elpis). In S. S. Agrawal (Ed.), The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU) (pp. 200–204). Available on https://www.isca-speech.org/archive/SLTU_2018/pdfs/Ben.pdf.
