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2015/09/10 · In reverberant environment, the accent recognition rate was improved from 90.7 % with GMM to 93.0 % with DNN. The combination of GMM and DNN ...
In this paper, we apply Gaussian Mixture Models (GMM) and Deep Neural Network (DNN) to identify the speaker accent in reverberant environments. The combination ...
The combination of GMM and DNN achieved recognition rate of 97.5 %, which outperformed than the individual GMM and DNN because the complementation of GMM and ...
In this paper, we apply Gaussian Mixture Models (GMM) and Deep Neural Network (DNN) to identify the speaker accent in reverberant environments. The combination ...
Distant-talking accent recognition by combining GMM and DNN. K Phapatanaburi, L Wang, R Sakagami, Z Zhang, X Li, M Iwahashi. Multimedia tools and applications ...
[雑誌論文] Distant-talking accent recognition by combining GMM and DNN2015. 著者名/発表者名. K. Phapatanaburi, L. Wang, R. Sakagami, Z. Zhang, X. Li, M ...
次. に、GMMとDNNの性質の違いに着目した。DNNは、GMMよりも母国語認識率を ... Distant-talking accent recognition by combining GMM and DNN. Multimedia Tools ...
2021/01/02 · ... Distant-talking accent recognition by combining GMM and DNN,” Multimedia Tools and Applications (MTAP), vol.75, no. 9, pp. 5109-5124, 2016 ...
Distant-talking accent recognition by combining GMM and DNN. K Phapatanaburi ... Phase and reverberation aware DNN for distant-talking speech enhancement.
For accent recognition task, DNN-based accent recognition is proposed for modeling the rever- beration over multi-frame. Moreover, the combination of scores ...