| Literature DB >> 27610047 |
Doğan Can1, James Gibson1, Colin Vaz1, Panayiotis G Georgiou1, Shrikanth S Narayanan1.
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.Entities:
Keywords: C++; actor model; concurrency and distribution; open source; real-time speech recognition
Year: 2014 PMID: 27610047 PMCID: PMC5012110 DOI: 10.1109/ICASSP.2014.6854212
Source DB: PubMed Journal: Proc IEEE Int Conf Acoust Speech Signal Process ISSN: 1520-6149