Abstract: This paper proposes a novel model TRIDENT to obtain better embeddings for speaker, emotion and speech recognition. Conventional features including HuBERT are often chosen to represent speech ...
Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...
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