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IEEE-ACM Transactions on Audio Speech and Language Processing | 2024 Impact Factor:5.1 | Cite Score:12.4 | Q1

IEEE-ACM Transactions on Audio Speech and Language Processing Journal

Impact Factor and Journal Rank of IEEE-ACM Transactions on Audio Speech and Language Processing

  • About: The IEEE-ACM Transactions on Audio, Speech, and Language Processing covers a wide spectrum of research in audio, speech, and language processing, as well as the underlying sciences that support these domains. The journal addresses key areas in audio processing, speech processing, and language processing, providing a comprehensive platform for advancing research and innovation.
  • Objective: The journal aims to advance the fields of audio, speech, and language processing through cutting-edge research and applications. It explores topics ranging from transducers and room acoustics to speech analysis and synthesis, and from speech and text understanding to document retrieval and language modeling. By integrating these diverse areas, the journal promotes interdisciplinary research and fosters collaboration among researchers and practitioners.
  • Interdisciplinary Focus: IEEE-ACM Transactions on Audio, Speech, and Language Processing emphasizes the integration of audio, speech, and language processing technologies. It addresses complex challenges across these domains, including human audition, speech recognition, language understanding, and music analysis. By fostering interdisciplinary approaches, the journal facilitates advancements that impact diverse applications in communication, entertainment, and human-computer interaction.
  • Global Reach and Impact: With a global readership and contributions from leading researchers worldwide, the journal significantly influences the fields of audio, speech, and language processing. It publishes innovative research that contributes to technological advancements and solutions to real-world problems. The journal impact extends across academic, industrial, and governmental sectors, driving advancements in communication technologies and enhancing human-machine interactions.
  • High Standards and Rigorous Review: IEEE-ACM Transactions on Audio, Speech, and Language Processing upholds rigorous standards of scientific integrity and quality. Each manuscript undergoes a thorough peer-review process conducted by experts in the field to ensure methodological rigor, scientific accuracy, and originality of contributions. This stringent review process ensures that only high-quality research that meets the journal standards is published, maintaining its reputation and credibility.
  • Significance: The journal plays a pivotal role in advancing audio, speech, and language processing technologies. By providing a platform for dissemination and exchange of knowledge, it fosters innovation and collaboration among researchers, engineers, and practitioners. IEEE-ACM Transactions on Audio, Speech, and Language Processing is instrumental in driving the evolution of these fields, addressing fundamental challenges, and exploring new frontiers in research and applications.

  • Editor-in-Chief:  Paris Smaragdis

  • Scope: The IEEE-ACM Transactions on Audio, Speech, and Language Processing covers a broad spectrum of topics related to audio, speech, and language processing, as well as the sciences that support them. It serves as a comprehensive platform for research in these fields, encompassing both theoretical advancements and practical applications. Here is an overview of its key focus areas and scope:
  • 1. Audio Processing:
    Research on transducers, room acoustics, active sound control, human audition, and analysis/synthesis/coding of music.
    Advancements in consumer audio technologies and applications.
  • 2. Speech Processing:
    Research on speech analysis, synthesis, and coding.
    Advancements in speech and speaker recognition technologies.
    Studies on speech production, perception, and enhancement.
  • 3. Language Processing:
    Research on speech and text analysis, understanding, and generation.
    Advancements in dialog management and natural language processing.
    Studies on machine translation, summarization, question answering, and document indexing and retrieval.
    General language modeling and computational linguistics.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  23299290

    Electronic ISSN:  23299304

  • Abstracting and Indexing:  Scopus, Science Citation INdex Expanded

  • Imapct Factor 2024:  5.1

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous) , Signal Processing , Engineering , Electrical and Electronic Engineering , Media Technology Health Professions, Speech and Hearing , Mathematics , Computational Mathematics , Physics and Astronomy , Acoustics and Ultrasonics , Instrumentation

  • Publication Frequency:  

  • H Index:  92

  • Best Quartile:

    Q1:  Acoustics and Ultrasonics

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  12.4

  • SNIP:  2.532

  • Journal Rank(SJR):  1.061