Oct 30, 2015 · This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken ...
Abstract—This paper compares different approaches for us- ing deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken ...
This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language ...
This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language ...
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This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language ...
This paper explores in depth a recently proposed approach to spoken language recognition based on the estimated posteriors for a set of senones representing ...
ABSTRACT. The recent application of deep neural networks (DNN) to speaker identification (SID) has resulted in significant improvements over.
Mar 28, 2016 · Study of senone -based Deep neural Network. Approaches for Spoken Language Recognition Luciana. Ferrer, Yun Lei, Mitchell McLaren, and ...
Abstract—. The impressive gains in performance obtained using deep neural networks (DNNs) for automatic speech recognition (ASR) have motivated the ...
Missing: Study Spoken
Oct 11, 2016 · This paper investigates the effects of limited speech data in the context of speaker verification using deep neural net- work (DNN) approach ...