A multi-level distortion measure (MLDM) is proposed as an objective to optimize deep
neural network-based speech enhancement (SE) in both audio-only and audio-visual …

Computational intelligence (CI) uses applied computational methods for problem-solving
inspired by the behavior of humans and animals. Biological systems are used to construct …

The aim of this study was to develop a reliable model of text change between two writing
systems." नमस्ते"(meaning" Hello") can be transliterated into Latin alphabet as" namaste" …

Transliteration is a task in the domain of NLP where the output word is a similar-sounding
word written using the letters of any foreign language. Today this system has been …

Numerous applications use handwriting recognition, such as optical character recognition,
document analysis, and automated form generation. Computer vision and machine learning …

The advancements in speech recognition have led to significant progress in predicting clean
speech. However, challenges persist in real-world noisy environments. Addressing issues …

This paper proposes the parallel adapter model (PAM) to improve the noise-robustness of
automatic speech recognition (ASR) systems with a small amount of retraining. The …

Automatic speech recognition systems are highly regarded today since they can improve
inclusivity, streamline business communications, etc. This page overviews the most recent …

Our proposed correlated multi-level optimization approach enhances speech recognition
performance for high-performance acoustic models in real-world applications. By combining …