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Found 4 papers, 0 papers with code
VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks
Keyword spotting (KWS) refers to the task of identifying a set of predefined words in audio streams.
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications
Large self-supervised pre-trained speech models have achieved remarkable success across various speech-processing tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications
Later, these representations serve as input to downstream models to solve a number of tasks, such as keyword spotting or emotion recognition.
Speech-MLP: a simple MLP architecture for speech processing
Overparameterized transformer-based architectures have shown remarkable performance in recent years, achieving state-of-the-art results in speech processing tasks such as speech recognition, speech synthesis, keyword spotting, and speech enhancement et al.
