Back to Top
Go Back
Journal Photo for QIT Press - International Journal of Acoustics, Speech and Signal Processing
Peer reviewed only Open Access

QIT Press - International Journal of Acoustics, Speech and Signal Processing (QITP-IJASSP)

Publisher : QIT Press
Acoustic Signal Processing Bio-imaging Biomedical Signal Processing
e-ISSN 0003-8394
Issue Frequency Monthly
Est. Year 2021
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@qitpress.com

Journal Descriptions

QIT Press International Journal of Acoustics, Speech and Signal Processing (QITP-IJASSP) Speech and acoustic signals are one of the most natural modalities that carry important information from/to people. In the last decade, machine learning techniques have greatly enhanced the performance of speech and acoustic signal processing, while traditional signal processing approaches still provide values especially in areas with limited resources. This journal is dedicated to recent advances in the intelligent speech and acoustic signal processing with signal processing and/or machine learning approaches in the vast area including recognition, speech synthesis, far-field acoustic signal processing, speech enhancement, acoustic echo cancellation, source localization, spoken term detection, keyword detection, active noise cancellation, language processing, forensics/security/privacy/obfuscation, spoken language understanding, and music analysis and processing.

QIT Press - International Journal of Acoustics, Speech and Signal Processing (QITP-IJASSP) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Acoustic Signal Processing, Bio-imaging, Biomedical Signal Processing, RFID, Internet of Things, Acoustics, Signal Processing, Cyber Security, Brain Machine Interface , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 0003-8394, Established: 2021,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of QITP-IJASSP

qit press January, 2025
Speaker verification is crucial in biometric security systems, but performance degradation occurs under mismatched noise and recording conditions. This paper explores acoustic feature learni...