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Locally-connected and convolutional neural networks for small footprint speaker recognition.

, , , , , and . INTERSPEECH, page 1136-1140. ISCA, (2015)

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Tuplemax Loss for Language Identification., , , , and . CoRR, (2018)On the use of deep feedforward neural networks for automatic language identification., , , , , and . Comput. Speech Lang., (2016)VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking., , , , , , , , , and . CoRR, (2018)Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss., , , , and . CoRR, (2022)Version Control of Speaker Recognition Systems., and . CoRR, (2020)Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting., , , , , and . CoRR, (2022)Frame-by-frame language identification in short utterances using deep neural networks., , , and . Neural Networks, (2015)Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting., , , , , and . ICASSP, page 1-5. IEEE, (2023)Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition., , and . Interspeech, page 4603-4607. ISCA, (2021)Attention-Based Models for Text-Dependent Speaker Verification., , , and . ICASSP, page 5359-5363. IEEE, (2018)