In this study, we propose a novel adversarial reprogramming (AR) approach for low-
resource spoken command recognition (SCR), and build an AR-SCR system. The AR …

Deep learning based approaches have greatly improved the performance of spoken
keyword spotting (KWS). However, KWS of different languages should have their own …

A large number of modern mobile devices, embedded devices and smart home devices are
equipped with a voice control. Automatic recognition of the entire audio stream, however, is …

Featured Application The proposed way to use unsupervised pre-training in voice activation
could be beneficial in cases of limited data resources, eg, in low-resource domains or for …

We propose a novel language-universal approach to end-to-end automatic spoken keyword
recognition (SKR) leveraging upon (i) a self-supervised pre-trained model, and (ii) a set of …

当前语音关键词检测的主流技术为深度学习, 需要大规模标注样本进行训练,
难以应用于更普遍的低资源场景. 本文提出一种基于音频特征空间轨迹信息的低资源语音关键词 …

Voice activation systems are used to find a pre-defined word or phrase in the audio stream.
Industry solutions, such as “OK, Google” for Android devices, are trained with millions of …

Modern devices are more frequently equipped with voice control. Using speech to operate is
a natural and efficient approach. However, incorporating voice control poses the following …

Most traditional template matching based keyword recognition methods don't need training
data, just rely on frame matching. However, the recognition speed is relatively slow and it …