Multimodal intelligence: Representation learning, information fusion, and applications
Deep learning methods haverevolutionized speech recognition, image recognition, and
natural language processing since 2010. Each of these tasks involves a single modality in …
natural language processing since 2010. Each of these tasks involves a single modality in …
Machine learning–based cyber attacks targeting on controlled information: A survey
Stealing attack against controlled information, along with the increasing number of
information leakage incidents, has become an emerging cyber security threat in recent …
information leakage incidents, has become an emerging cyber security threat in recent …
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Speech emotion recognition is one of the challenging research issues in the knowledge-
based system and various methods have been recommended to reach high classification …
based system and various methods have been recommended to reach high classification …
Personal voice assistant security and privacy—a survey
Personal voice assistants (PVAs) are increasingly used as interfaces to digital environments.
Voice commands are used to interact with phones, smart homes, or cars. In the United …
Voice commands are used to interact with phones, smart homes, or cars. In the United …
The VoicePrivacy 2024 Challenge Evaluation Plan
The task of the challenge is to develop a voice anonymization system for speech data which
conceals the speaker's voice identity while protecting linguistic content and emotional states …
conceals the speaker's voice identity while protecting linguistic content and emotional states …
Exploration of efficient end-to-end asr using discretized input from self-supervised learning
Self-supervised learning (SSL) of speech has shown impressive results in speech-related
tasks, particularly in automatic speech recognition (ASR). While most methods employ the …
tasks, particularly in automatic speech recognition (ASR). While most methods employ the …
Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network
Speech signal processing is an active area of research, the most dominant source of
exchanging information among human beings, and the best way for human–computer …
exchanging information among human beings, and the best way for human–computer …
Introducing the VoicePrivacy initiative
The VoicePrivacy initiative aims to promote the development of privacy preservation tools for
speech technology by gathering a new community to define the tasks of interest and the …
speech technology by gathering a new community to define the tasks of interest and the …
Privacy implications of voice and speech analysis–information disclosure by inference
Internet-connected devices, such as smartphones, smartwatches, and laptops, have become
ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors …
ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors …
Speaker anonymisation using the McAdams coefficient
Anonymisation has the goal of manipulating speech signals in order to degrade the
reliability of automatic approaches to speaker recognition, while preserving other aspects of …
reliability of automatic approaches to speaker recognition, while preserving other aspects of …