IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/TASLP)

IEEE/ACM Transactions on Audio, Speech, and Language Processing is a leading interdisciplinary scientific journal dedicated to the archival publication of high‑quality research on audio, speech, and language processing. It serves as a premier platform for novel methods, systems, and applications that advance theory and practice in signal processing, computational linguistics, and allied areas. The journal welcomes manuscripts on fundamental techniques and emerging research that address analysis, transformation, synthesis, understanding, and interpretation of audio and speech signals, as well as natural language data. Topics of interest span from acoustic modeling, speech recognition, and speaker identification to deep learning for language tasks, multimodal interaction, and human‑computer dialogue. Reflecting a hybrid collaboration between IEEE and ACM, TASLP brings together rigorous engineering perspectives with computational language science, fostering innovation across diverse technical communities. The journal’s editorial process emphasizes rigorous peer review, technical depth, and relevance to both academia and industry practitioners. Publication is typically bimonthly, promoting timely dissemination of significant contributions that help shape the future of audio‑speech‑language research.

IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/TASLP) is :-

• International, Peer-Reviewed, Open Access, Refereed, Media Technology, Instrumentation, Acoustics and Ultrasonics, Linguistics and Language, Signal Processing, Electrical and Electronic Engineering, Speech and Hearing, Audio signal processing, Speech processing, Language processing , Online or Print , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2329-9290, E-ISSN: 2329-9304, Established: 2014,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE