In the end-of-line test of geared motors, the evaluation of product quality is important. Due to
time constraints and the high diversity of variants, acoustic measurements are more …

Voice disentanglement, the process of isolating speech or singing voice into several latent
subspaces, each representing certain aspects, holds significant importance in diverse audio …

Abstract Speech 'in-the-wild'is a handicap for speaker recognition systems due to the
variability induced by real-life conditions, such as environmental noise and the emotional …

Seq2seq speech synthesis frameworks, such as Tacotron [83], can generate high-quality
synthetic speech. However, such frameworks heavily rely on a large amount of training data …

Rising maintenance costs of ageing infrastructure necessitate innovative monitoring
techniques. This paper presents a new approach for axle detection, enabling real-time …

Computers can understand and then engage with people in an emotionally intelligent way
thanks to speech-emotion recognition (SER). However, the performance of SER in cross …

Speech processing technology has great potential in the medical field to provide beneficial
solutions for both patients and doctors. Speech interfaces, represented by speech synthesis …

We propose two approaches to handle speech recognition for task domains with sparse
matched training data. One is an active learning method that selects training data for the …

Hyperparameters play a crucial role in controlling the learning process, consequently
impacting the model performance significantly. In most machine and deep learning …

Natural language plays a key role in healthcare systems worldwide; yet, the medical
interview process has seen little development compared to the strides made in medical …