5 citations · 8 across the 3 of their papers we have counts for
8 papers
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
Yizhi Li, Ruibin Yuan, Ge Zhang +11
The deep learning community has witnessed an exponentially growing interest in self-supervised learning (SSL). However, it still remains unexplored how to build a framework for lea…
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Yizhi Li, Ge Zhang, Bohao Yang +4
Fairness has become a trending topic in natural language processing (NLP), which addresses biases targeting certain social groups such as genders and religions. However, regional b…
Approximate Fixed-Points in Recurrent Neural Networks
Zhengxiong Wang, Anton Ragni
Recurrent neural networks are widely used in speech and language processing. Due to dependency on the past, standard algorithms for training these models, such as back-propagation…
Continuous representations of intents for dialogue systems
Sindre André Jacobsen, Anton Ragni
Intent modelling has become an important part of modern dialogue systems. With the rapid expansion of practical dialogue systems and virtual assistants, such as Amazon Alexa, Apple…
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks
Alexandros Kastanos, Anton Ragni, Mark Gales
Recently, there has been growth in providers of speech transcription services enabling others to leverage technology they would not normally be able to use. As a result, speech-ena…
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks
Anton Ragni, Qiujia Li, Mark Gales +1
The standard approach to assess reliability of automatic speech transcriptions is through the use of confidence scores. If accurate, these scores provide a flexible mechanism to fl…