About the Journal

Aim and Scope

The National Journal of Speech and Audio Processing (NJSAP) aims to foster the dissemination of high-quality research and innovative developments in the fields of speech, audio, and acoustic signal processing. The journal serves as a platform for researchers, practitioners, and technologists to share theoretical insights, algorithmic advancements, and real-world applications that contribute to the evolving landscape of audio and speech technologies.

Scope of the journal includes, but is not limited to:

  • Speech recognition and synthesis

  • Audio signal enhancement and noise reduction techniques

  • Speaker identification and voice biometrics

  • Natural Language Processing (NLP) and conversational AI

  • Acoustic modeling and classification of environmental sounds

  • Music signal analysis and audio content processing

  • Real-time speech/audio systems for mobile and embedded platforms

  • Multimodal interfaces including audio-visual integration

  • Deep learning and AI applications in speech and audio analytics

  • Practical implementations in hearing aids, virtual assistants, robotics, and smart systems

NJSAP encourages the submission of original research articles, review papers, and case studies that advance the understanding and capabilities of speech and audio processing systems. Interdisciplinary contributions that bridge speech/audio processing with fields such as machine learning, cognitive computing, and human-computer interaction are also highly welcomed.

Frequency of publication - Quarterly 
Language - English
Subject - Engineering
Year of Starting - 2025
format of publication  - Online Only
ISSN - XXXX-XXXX