Deep speaker embeddings for Speaker Verification: Review and experimental comparison
The construction of speaker-specific acoustic models for automatic speaker recognition is
almost exclusively based on deep neural network-based speaker embeddings. This work …
almost exclusively based on deep neural network-based speaker embeddings. This work …
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 …
A survey on deep reinforcement learning for audio-based applications
Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence
(AI) by endowing autonomous systems with high levels of understanding of the real world …
(AI) by endowing autonomous systems with high levels of understanding of the real world …
Mint: Boosting generalization in mathematical reasoning via multi-view fine-tuning
Large-scale learning of generalised representations for speaker recognition
The objective of this work is to develop a speaker recognition model to be used in diverse
scenarios. We hypothesise that two components should be adequately configured to build …
scenarios. We hypothesise that two components should be adequately configured to build …