Speaker recognition based on deep learning: An overview
Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …
learning has dramatically revolutionized speaker recognition. However, there is lack of …
A survey of speaker recognition: Fundamental theories, recognition methods and opportunities
Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …
digital devices. Acquiring this congenital human competency, authentication technologies …
Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification
Current speaker verification techniques rely on a neural network to extract speaker
representations. The successful x-vector architecture is a Time Delay Neural Network …
representations. The successful x-vector architecture is a Time Delay Neural Network …
In defence of metric learning for speaker recognition
The objective of this paper is' open-set'speaker recognition of unseen speakers, where ideal
embeddings should be able to condense information into a compact utterance-level …
embeddings should be able to condense information into a compact utterance-level …
But system description to voxceleb speaker recognition challenge 2019
In this report, we describe the submission of Brno University of Technology (BUT) team to
the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2019. We also provide a brief …
the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2019. We also provide a brief …
Mm-vid: Advancing video understanding with gpt-4v (ision)
We present MM-VID, an integrated system that harnesses the capabilities of GPT-4V,
combined with specialized tools in vision, audio, and speech, to facilitate advanced video …
combined with specialized tools in vision, audio, and speech, to facilitate advanced video …
End-to-end neural speaker diarization with self-attention
Speaker diarization has been mainly developed based on the clustering of speaker
embeddings. However, the clustering-based approach has two major problems; ie,(i) it is not …
embeddings. However, the clustering-based approach has two major problems; ie,(i) it is not …
Who is real bob? adversarial attacks on speaker recognition systems
Speaker recognition (SR) is widely used in our daily life as a biometric authentication or
identification mechanism. The popularity of SR brings in serious security concerns, as …
identification mechanism. The popularity of SR brings in serious security concerns, as …
End-to-end speaker diarization for an unknown number of speakers with encoder-decoder based attractors
End-to-end speaker diarization for an unknown number of speakers is addressed in this
paper. Recently proposed end-to-end speaker diarization outperformed conventional …
paper. Recently proposed end-to-end speaker diarization outperformed conventional …
Backdoor attack against speaker verification
Speaker verification has been widely and successfully adopted in many mission-critical
areas for user identification. The training of speaker verification requires a large amount of …
areas for user identification. The training of speaker verification requires a large amount of …