Recent Development of Open-Source Speech Recognition Engine Julius

By Akinobu Lee, Tatsuya Kawahara. 2009

348 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/831c59de33aabbff9b7442a5645788761177741f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mirco Ravanelli
2. Titouan Parcollet
3. Yoshua Bengio
4. Masato Mimura
5. Xugang Lu
6. Sheng Li
7. Shinsuke Sakai
8. Yi Tay

Citations in the corpus

• The Pytorch-kaldi Speech Recognition Toolkit (2018, methodology): “Among the others factors, the development of open-source software such as HTK [8], Julius [9], CMU-Sphinx, RWTH-ASR [10], LIA-ASR [11] and, more recently, the Kaldi toolkit [12] have further helped popularize ASR, making both research and development of novel ASR applications significantly easier.”
• Semi-supervised ensemble DNN acoustic model training (2017, methodology): “1 (DNN version) [25] using the state transition probabilities of the GMM-HMM.”