DeepFilterNet2, a recently proposed real-time and low-complexity speech enhancement (SE) technique, has shown state-of-the-art SE performance in many deep noise suppression tasks. This paper proposes a new approach, termed pDeepFilterNet2, to …

The field of speech recognition makes it simpler for humans and machines to engage with speech. Number-oriented communication, such as using a registration code, mobile number, score, or account number, can benefit from speech recognition for …

Emotions represent a fundamental aspect when evaluating user satisfaction or collecting customer feedback in human interactions, as well as in the realm of human–computer interface (HCI) technologies. Moreover, as human beings, we possess a …

Automatic Speech Emotion Recognition (ASER) has recently garnered attention across various fields including artificial intelligence, pattern recognition, and human–computer interaction. However, ASER encounters numerous challenges such as a …

The implementation of a defect speech recognition (DSR) system has the opportunity to significantly improve the lifestyle of people with speech disorders. In this paper, we developed a novel ConvGRUSpeechNet model for recognizing and understanding …

Speech Emotion Recognition (SER) is the process of recognizing and classifying emotions expressed through speech. SER greatly facilitates personalized and empathetic interactions, enhances user experiences, enables sentiment analysis, and finds …

The Transformer model is frequently employed for speech command recognition (SCR) since it supports parallelization and has internal attention. The high learning speed of this design and the absence of sequential operation, like with recurrent …

With the increasing adoption of voice-based authentication systems, the threat of audio spoofing attacks has become a significant concern. These attacks aim to deceive voice authentication systems by manipulating or impersonating audio signals. To …

Recently, denoising diffusion probabilistic models (DDPMs) have been effective in speech enhancement. However, existing models largely follow the original diffusion training method, ignoring the trade-off between optimization goals in different …

Due to the peculiar cell growth, apraxia is one of the common types of speech stuttering seen in youngsters. Machine learning-based architecture has been used to automatically categorize the disfluency based on the feature and its properties …

Indonesia has a variety of languages, one of which is Sundanese. Sundanese is a regional language from Indonesia that has the potential to become extinct. One way to prevent Sundanese from potential extinction is with speech recognition. Speech …

Machine learning provides researchers in speech processing and bioacoustics numerous advanced and non-invasive techniques to investigate animal vocalizations. Hidden Markov Models (HMMs) are machine learning techniques that were developed and …

Digital speech processing applications including automatic speech recognition (ASR), speaker recognition, speech translation, and others, essentially require large volumes of speech data for training and testing purposes. Although there are …

Automatic speech recognition (ASR) plays a crucial role in facilitating natural and efficient human–computer interaction. This paper offers a comprehensive review of ASR systems tailored specifically for the Gujarati language. Existing literature …

Modern low bit-rate speech coders require efficient coding of the linear predictive coding (LPC) coefficients. Immittance Spectral Frequencies (ISF) and Line Spectral Frequencies (LSF) are currently the most efficient transmission parameters for …

In literature, various time-frequency representation methods were investigated for automatic detection of voice disorders. Stockwell-Transform (S-Transform) provides good time-frequency localization; hence, it may efficiently capture the voice …

Automatic Speech Recognition systems that convert language into written text have greatly transformed human–machine interaction. Although these systems have achieved results, in languages building accurate and reliable ASR models for low resource …

In an online class, students respond to queries initiated by the educator through voice, video, or chat. The educator receives these responses but cannot ascertain the emotion carried in these responses with confidence. This emotional limitation …