Deep multi-metric learning for text-independent speaker verification
نویسندگان
چکیده
منابع مشابه
Deep Speaker Feature Learning for Text-Independent Speaker Verification
Recently deep neural networks (DNNs) have been used to learn speaker features. However, the quality of the learned features is not sufficiently good, so a complex back-end model, either neural or probabilistic, has to be used to address the residual uncertainty when applied to speaker verification, just as with raw features. This paper presents a convolutional timedelay deep neural network stru...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2020
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2020.06.045