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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...
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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...
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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...
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05/03/2021
SUPERB: Speech processing Universal PERformance Benchmark
Self-supervised learning (SSL) has proven vital for advancing research i...
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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 ...
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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...
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06/05/2020
Understanding Self-Attention of Self-Supervised Audio Transformers
Self-supervised Audio Transformers (SAT) enable great success in many do...
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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...
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12/05/2019
Towards Robust Neural Vocoding for Speech Generation: A Survey
Recently, neural vocoders have been widely used in speech synthesis task...
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10/25/2019
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
We present Mockingjay as a new speech representation learning approach, ...
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05/28/2019
