Abstract

We present Barista, an open-source framework for concurrent speech processing based on the Kaldi speech recognition toolkit and the libcppa actor library. With Barista, we aim to provide an easy-to-use, extensible framework for constructing highly customizable concurrent (and/or distributed) networks for a variety of speech processing tasks. Each Barista network specifies a flow of data between simple actors, concurrent entities communicating by message passing, modeled after Kaldi tools. Leveraging the fast and reliable concurrency and distribution mechanisms provided by libcppa, Barista lets demanding speech processing tasks, such as real-time speech recognizers and complex training workflows, to be scheduled and executed on parallel (and/or distributed) hardware. Barista is released under the Apache License v2.0.

Date

2014

Authors

Doğan Can, James Gibson, Colin Vaz, Panayiotis G Georgiou, Shrikanth S Narayanan

Conference

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Pages

3306-3310

Publisher

IEEE