research
∙
03/14/2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
Transfer learning has proven to be crucial in advancing the state of spe...
share
research
∙
10/15/2021
Don't speak too fast: The impact of data bias on self-supervised speech models
Self-supervised Speech Models (S3Ms) have been proven successful in many...
research
∙
06/01/2021
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
Previous works have shown that automatic speaker verification (ASV) is s...
research
∙
05/03/2021
SUPERB: Speech processing Universal PERformance Benchmark
Self-supervised learning (SSL) has proven vital for advancing research i...
research
∙
02/14/2021
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models
Automatic speaker verification (ASV) is one of the core technologies in ...
research
∙
07/12/2020
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
We introduce a self-supervised speech pre-training method called TERA, w...
research
∙
06/05/2020
Understanding Self-Attention of Self-Supervised Audio Transformers
Self-supervised Audio Transformers (SAT) enable great success in many do...
research
∙
06/05/2020
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
High-performance anti-spoofing models for automatic speaker verification...
research
∙
12/05/2019
Towards Robust Neural Vocoding for Speech Generation: A Survey
Recently, neural vocoders have been widely used in speech synthesis task...
research
∙
10/25/2019
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
We present Mockingjay as a new speech representation learning approach, ...
research
∙
05/28/2019