Speech is a unique characteristic of humans that expresses one's emotional viewpoint to
others. Speech emotion recognition (SER) identifies the speaker's emotion from the speech …

Centralized machine learning methods require the aggregation of data collected from
clients. Due to the awareness of data privacy, however, the aggregation of raw data …

Automatic speech recognition (ASR) is a typical pattern recognition technology that converts
human speeches into texts. With the aid of advanced deep learning models, the …

With the increasing amount of data, data privacy has drawn great concern in machine
learning among the public. Federated Learning, which is a new kind of distributed learning …

With environmental noise in the exhibition hall, speakers tend to change their speech
production to preserve intelligible communication. While great evolution has been prepared …

Visual phrase recognition needs lip movement related visual features, while audio-visual
phrase recognition requires both acoustic and visual features. In this work, we propose a …

In recent years, the integration of human-robot interaction with speech recognition has
gained a lot of pace in the manufacturing industries. Conventional methods to control the …

Lipreading aims to decode the speech content from a moving mouth. It is a very challenging
task because lip appearance variations and speech contents are coupled together in the …

Lip Reading is also called Visual Speech Recognition, is a technique that utilizes only the
visual scene of speech recognition. The proposed framework deals with three main steps …

Utilization of motor signal information of articulatory muscles and facial images separately in
speech recognition shows that these two pieces of information are related to the articulation …