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Scalable and Secure Learning with Limited Supervision over Data Streams
Applications that employ machine learning over a stream of data provide the knowledge necessary for its users to make informed decisions at the right time. With the advantages of cloud computing infrastructure, these ...
Synthesizing Naturalistic and Meaningful Speech-Driven Behaviors
Nonverbal behaviors externalized through head, face and body movements for conversational agents (CAs) play an important role in human computer interaction (HCI). Believable movements for CAs have to be meaningful and ...
Novel Frameworks for Attribute-Based Speech Emotion Recognition using Time-Continuous Traces and Sentence-Level Annotations
Speech emotion recognition (SER) plays an important role in a growing world of automation and artificial intelligence. Robust and accurate SER systems are crucial for enhancing human-computer interaction. Emotional ...
Advanced Concurrency Techniques for Concurrent Data Structures
Concurrent algorithms have gained importance as multi-core machines have become more ubiquitous. Several techniques are employed to enable the construction of such algorithms. We present algorithms for the Group Mutual ...