Performance evaluation of deep bottleneck features for spoken language identification. Abstract: Our previous work has shown that Deep Bottleneck Features ...
Abstract. Our previous work has shown that Deep Bottleneck Features. (DBF), generated from a well-trained Deep Neural Network.
To address this, we propose using Deep Bottleneck Features (DBF) for spoken LID, motivated by the success of Deep Neural Networks (DNN) in speech recognition.
Jul 1, 2014 · To address this, we propose using Deep Bottleneck Features (DBF) for spoken LID, motivated by the success of Deep Neural Networks (DNN) in ...
Jul 1, 2014 · A key problem in spoken language identification (LID) is to design effective representations which are specific to language information.
This work proposes using Deep Bottleneck Features (DBF) for spoken LID, and shows that DBFs can form a low-dimensional compact representation of the ...
(PDF) Deep Bottleneck Features for Spoken Language Identification
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Oct 8, 2014 · Jiang et al. (2014) studied the problem of spoken language identification utilizing deep bottleneck features addresses the problem of labelling ...
Performance evaluation of deep bottleneck features for spoken language identification · Improvements on Deep Bottleneck Network based I-Vector Representation for ...
Feb 2, 2020 · Abstract. In this paper we proposed an end-to-end short utterances speech language identification(SLD) approach based on a Long.
We evaluate the performance of the proposed D2BF using different back ... (2014) Task-aware deep bottleneck features for spoken language identification.