Abstract
In recent years, the use of Kaldi has rapidly grown because it has adopted various technologies of DNN-based speech recognition in succession and has shown high recognition performance. On the other hand, the speech recognition engine, Julius, has been widely used especially in Japan. Julius is also attracting attention since DNN-HMM is implemented in it. In this paper, we describe the design plan of interfaces that make Kaldi speech recognition engine be compatible with Julius, a system overview, and the details of the speech input unit and the recognition result output unit. We also refer to the functions that we are planning to implement.
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Acknowledgment
Part of this work was supported by JSPS KAKENHI Grant Number JP26280055 and JP15H02720.
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Yamada, Y., Nose, T., Chiba, Y., Ito, A., Shinozaki, T. (2018). Development and Evaluation of Julius-Compatible Interface for Kaldi ASR. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_12
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DOI: https://doi.org/10.1007/978-3-319-63859-1_12
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