Overview of speaker modeling and its applications: From the lens of deep speaker representation learning
Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …
By thoroughly and accurately modeling this information, it can be utilized in various …
ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale
ASVspoof 5 is the fifth edition in a series of challenges that promote the study of speech
spoofing and deepfake attacks, and the design of detection solutions. Compared to previous …
spoofing and deepfake attacks, and the design of detection solutions. Compared to previous …
Whisper-SV: Adapting Whisper for low-data-resource speaker verification
Trained on 680,000 h of massive speech data, Whisper is a multitasking, multilingual
speech foundation model demonstrating superior performance in automatic speech …
speech foundation model demonstrating superior performance in automatic speech …
An enhanced res2net with local and global feature fusion for speaker verification
Effective fusion of multi-scale features is crucial for improving speaker verification
performance. While most existing methods aggregate multi-scale features in a layer-wise …
performance. While most existing methods aggregate multi-scale features in a layer-wise …
Leveraging asr pretrained conformers for speaker verification through transfer learning and knowledge distillation
This paper focuses on the application of Conformers in speaker verification. Conformers,
initially designed for Automatic Speech Recognition (ASR), excel at modeling both local and …
initially designed for Automatic Speech Recognition (ASR), excel at modeling both local and …
Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification
The residual neural networks (ResNet) demonstrate the impressive performance in
automatic speaker verification (ASV). They treat the time and frequency dimensions equally …
automatic speaker verification (ASV). They treat the time and frequency dimensions equally …
Pretraining conformer with asr for speaker verification
This paper proposes to pretrain Conformer with automatic speech recognition (ASR) task for
speaker verification. Conformer combines convolution neural network (CNN) and …
speaker verification. Conformer combines convolution neural network (CNN) and …
t-EER: Parameter-free tandem evaluation of countermeasures and biometric comparators
Presentation attack (spoofing) detection (PAD) typically operates alongside biometric
verification to improve reliablity in the face of spoofing attacks. Even though the two sub …
verification to improve reliablity in the face of spoofing attacks. Even though the two sub …
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models
This paper introduces ESPnet-SPK, a toolkit designed with several objectives for training
speaker embedding extractors. First, we provide an open-source platform for researchers in …
speaker embedding extractors. First, we provide an open-source platform for researchers in …
[PDF][PDF] LightVoc: An upsampling-free GAN vocoder based on Conformer and inverse short-time Fourier transform
Most neural vocoders based on generative adversarial networks (GANs) rely on iterative
upsampling to generate audio sequences from mel-spectrograms as well as dilated …
upsampling to generate audio sequences from mel-spectrograms as well as dilated …