National Journal of Speech and Audio Signal Processing

About the Journal

The National Journal of Speech and Audio Signal Processing publishes high-quality original research, review articles, and technical surveys that advance the theory, algorithms, and applications of speech and audio signal processing. The journal serves as a platform for researchers, academicians, and industry professionals working on digital signal processing (DSP) techniques for speech and audio analysis, synthesis, enhancement, recognition, and interpretation.

“The journal formerly titled National Journal of Speech and Audio Processing has been renamed to National Journal of Speech and Audio Signal Processing to better reflect its focus on advanced digital signal processing methodologies and applications in speech and audio domains.”


Scope Includes (but is not limited to):
National Journal of Speech and Audio Signal Processing focuses on

• Applications in hearing aids, smart assistants, and robotics

• Speech signal analysis, modeling, enhancement, recognition, and synthesis

• Audio signal processing including music, acoustic, and spatial audio analysis

• Digital signal processing techniques such as filtering, spectral and time–frequency analysis

• Machine learning and deep learning methods for speech and audio signals

• Speech and audio coding, compression, and quality assessment

• Real-time, embedded, and low-power speech/audio processing systems

• Applications in healthcare, human–computer interaction, multimedia, and IoT

• Frequency of publication - Quarterly 
  Language - English
  Subject - Engineering
  Year of Starting - 2025
  format of publication  - Online Only
  ISSN - 3107-5258