Development and Evaluation of Julius-Compatible Interface for Kaldi ASR
Development and Evaluation of Julius-Compatible Interface for Kaldi ASR
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DOI：
10.1007/978-3-319-63859-1_12
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发表时间：
2017-08
期刊：
影响因子：
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通讯作者：
Yusuke Yamada;Takashi Nose;Yuya Chiba;Akinori Ito;T. Shinozaki
中科院分区：
文献类型：
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作者：
Yusuke Yamada;Takashi Nose;Yuya Chiba;Akinori Ito;T. Shinozaki
近年来，Kaldi的使用迅速增长，因为它相继采用了基于DNN的语音识别的各种技术，并表现出了很高的识别性能。另一方面，语音识别引擎Julius已经被广泛使用，特别是在日本。Julius也受到了人们的关注，因为它实现了DNN-HMM。本文描述了接口的设计方案，使Kaldi语音识别引擎与Julius兼容，系统概述，以及语音输入单元和识别结果输出单元的细节。我们还提到我们计划执行的职能。
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.