Muslims aim to recite and memorize the Holy Quran correctly. However, traditional recitation
verification approaches depend on humans who may not be available. On the other hand …

Many combustors are prone to Thermoacoustic Instabilities (TAI). Being able to avoid TAI is
mandatory to efficiently operate a system without sacrificing neither performance nor safety …

Cooling fans are one of the critical components of air-forced dry-type transformers for
regulating internal temperatures. Therefore, effective malfunction detection is crucial to …

While end-to-end ASR systems have proven competitive with the conventional hybrid
approach, they are prone to accuracy degradation when it comes to noisy and low-resource …

In this paper, Entangled, a multi-modal instrument in virtual 3D space with sound, graphics,
and the smartphone-based gestural interface for multi-user is introduced. Within the same …

Although end-to-end automatic speech recognition (E2E ASR) has achieved great
performance in tasks that have numerous paired data, it is still challenging to make E2E …

Abstract Convolutional Neural Network-based (CNN) inference is a demanding
computational task where a long sequence of operations is applied to an input as dictated …

To train end-to-end automatic speech recognition models, it requires a large amount of
labeled speech data. This goal is challenging for languages with fewer resources. In …

The rapid development of the current availability of advanced hardware and software is
opening up new opportunities for digital creation every day. This situation provides great …

针对语音识别任务中出现的未登录词问题, 提出一种带阈值的BPE-dropout 多任务学习语音识别
方法. 该方法采用带随机性的字节对编码算法, 在形成子词时引入带字数阈值的策略 …