Deep learning in speaker recognition
It is supposed in Speaker Recognition (SR) that everyone has a unique voice which could
be used as an identity rather than or in addition to other identities such as fingerprint, face, or …
be used as an identity rather than or in addition to other identities such as fingerprint, face, or …
DNN Speaker Tracking with Embeddings
CR Castillo-Sanchez, LP Garcia-Perera… - arXiv preprint arXiv …, 2020 - arxiv.org
In multi-speaker applications is common to have pre-computed models from enrolled
speakers. Using these models to identify the instances in which these speakers intervene in …
speakers. Using these models to identify the instances in which these speakers intervene in …
EML System Description for VoxCeleb Speaker Diarization Challenge 2020
This technical report describes the EML submission to the first VoxCeleb speaker diarization
challenge. Although the aim of the challenge has been the offline processing of the signals …
challenge. Although the aim of the challenge has been the offline processing of the signals …
[PDF][PDF] Online Speaker Diarization Using Single Speaker Model Update with Embeddings
BCR Castillo-Sanchez - 2020 - clir-lab.org
Speech has become one of the most essential means for human-machine communication;
with technologies such as assistant devices, wearable devices, and in-vehicle information …
with technologies such as assistant devices, wearable devices, and in-vehicle information …