Voice casting is one of the most crucial aspects of dubbing and localization, which consists of adapting audio-visual content from one language and culture to another. Dubbing is widely used in variou...

Voice casting has always been challenging in the multimedia industry. Recent research shows that voice casting can be done with the help of speaker recognition methods. In this paper, the first datase...

Spectral-based features, typically used in ASR systems, do not capture the phase information of speech signals. Thus, exploiting new features that do not ignore the phase of the signal can be a comple...

Voice pathology detection (VPD) aims to accurately identify voice impairments by analyzing speech signals. This study proposes models based on deep learning (DL) for binary classification to distingui...

Voice pathology detection (VPD) aims to accurately identify voice impairments by analyzing speech signals. This study proposes models based on deep learning (DL) for binary classification to distingui...

Speech problems are a common issue that affects people everywhere and can affect the quality of their lives. The human speech production system involves various components. Dysfunction of any of these...

Voice casting is one of the most crucial aspects of dubbing and localization, which consists of adapting audio-visual content from one language and culture to another. Dubbing is widely used in variou...

Voice casting has always been challenging in the multimedia industry. Recent research shows that voice casting can be done with the help of speaker recognition methods. In this paper, the first datase...

The rapid advancement of text-to-speech and voice conversion technologies has significantly improved the quality of synthetic speech, posing increasing challenges for developing reliable detection cou...

Advances in deep learning have led to significant progress in the field of speech processing, particularly in applications such as speaker recognition systems (SRSs). Additional information such as ge...