Spontaneous speech emotion recognition is a new and challenging research topic. In this
paper, we propose a new method of spontaneous speech emotion recognition on the basis …

Speaker recognition systems achieve good performance under controlled conditions.
However, in real-world conditions, the performance degrades drastically. The principal …

Objective. Speech perception in cocktail party scenarios has been the concern of a group of
researchers who are involved with the design of hearing-aid devices. Approach. In this …

The performance of the far-field speaker identification (SI) system is usually reduced by the
well-known mismatch problem imposed by environmental conditions. Speech enhancement …

Automatic speaker recognition has emerged as an important technology for voice-based
biometric systems. However, text-independent speaker recognition against short utterances …

State-of-the-art spectral or temporal features of speech do not provide adequate attributes
for automatic speech recognition (ASR) system in noisy environments. Recently, phase …

Speech intelligibility enhancement in noisy environments is still one of the major challenges
for hearing impaired in everyday life. Recently, Machine-learning based approaches to …

Neutral network (NN) and clustering are the two commonly used methods for speech
separation based on supervised learning. Recently, deep clustering methods have shown …

The Hilbert transform has been recognized as an important method in circuit theory. One of
its important applications is related to the gain–phase relationship. Many practical methods …

Speech separation is an active research topic that plays an important role in numerous
applications, such as speaker recognition, hearing prosthesis, and autonomous robots …