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International Journal of Speech Technology - Springer | 2024 Cite Score:5.0 | Q1

International Journal of Speech Technology With Cite Score

Cite Score and Journal Rank of International Journal of Speech Technology

  • About: The International Journal of Speech Technology (IJST) is a peer-reviewed journal dedicated to the study and advancement of speech technology and its applications. It covers a wide range of topics related to speech processing, speech recognition, speech synthesis, speaker identification, and related areas. The journal aims to provide a comprehensive platform for researchers and practitioners to share their findings and developments in the field of speech technology.
  • Objective:
    The primary objective of IJST is to disseminate high-quality research and innovative advancements in speech technology. The journal seeks to explore new methodologies, algorithms, and applications that improve the understanding and implementation of speech technologies. It aims to support the development of robust and efficient speech systems that can be applied in various domains such as telecommunications, human-computer interaction, and assistive technologies.
  • Interdisciplinary Approach:
    IJST embraces an interdisciplinary approach, encouraging contributions from fields such as computer science, linguistics, electrical engineering, cognitive science, and artificial intelligence. This approach ensures a holistic examination of speech technology, integrating insights from diverse disciplines to address the multifaceted challenges in the field. By fostering interdisciplinary collaboration, the journal aims to advance the development and application of speech technologies.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in speech technology. It is widely cited by researchers, developers, and industry professionals who seek to understand and leverage the latest advancements in speech processing and applications. The research published in IJST contributes to the development of new tools, techniques, and best practices, influencing the design and deployment of speech technology systems. The journal also serves as a valuable resource for educators and students engaged in the study of speech technology.
  • Significance:
    IJST plays a crucial role in advancing the field of speech technology by publishing high-quality research that addresses key challenges and opportunities. Its contributions support the development of effective and innovative speech systems that enhance communication and interaction in various applications. The journals interdisciplinary focus and commitment to excellence make it an essential resource for anyone involved in the research, development, and application of speech technology.
  • Latest Research Topics for PhD in Computer Science
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  • Editor-in-Chief:  Amy Neustein

  • Scope: The International Journal of Speech Technology focuses on the development, analysis, and application of technologies related to speech. Its scope includes, but is not limited to:
  • Speech Recognition: Techniques and algorithms for recognizing and interpreting spoken language, including automatic speech recognition (ASR) systems and voice-activated interfaces.
  • Speech Synthesis: Methods for generating natural-sounding speech from text, including text-to-speech (TTS) systems and voice synthesis technologies.
  • Speaker Recognition: Technologies for identifying and verifying individuals based on their voice characteristics, including speaker identification and speaker verification systems.
  • Speech Analysis and Processing: Techniques for analyzing and processing speech signals, including signal enhancement, noise reduction, and feature extraction.
  • Language Modeling: Development of models to represent and predict language use in speech technology applications, including natural language processing (NLP) and language generation.
  • Dialogue Systems: Design and implementation of systems for human-computer interaction through spoken language, including conversational agents, chatbots, and virtual assistants.
  • Multimodal Interaction: Integration of speech with other modalities, such as gesture, facial expressions, and visual inputs, for more natural and intuitive human-computer interaction.
  • Applications of Speech Technology: Practical applications of speech technology in various domains, including healthcare, education, customer service, accessibility, and entertainment.
  • Speech Technology in Assistive Devices: Development and implementation of speech technology in assistive devices for individuals with disabilities, including speech-to-text systems and communication aids.
  • Acoustic Modeling: Techniques for creating and improving acoustic models used in speech recognition and synthesis, including deep learning and statistical modeling approaches.
  • Phonetics and Phonology: Studies on the phonetic and phonological aspects of speech, including speech production, perception, and linguistic analysis.
  • Speech Technology Evaluation: Methods and metrics for evaluating the performance and effectiveness of speech technologies, including user satisfaction and system accuracy.
  • Speech Corpora and Databases: Creation and use of speech corpora and databases for research and development in speech technology, including annotated datasets and benchmark collections.
  • Prosody and Intonation: Analysis and modeling of prosodic features in speech, including intonation, stress, and rhythm, and their impact on speech technology.
  • Emotion and Affect in Speech: Detection and synthesis of emotional states and affective cues in speech, including emotion recognition and expressive speech synthesis.
  • Emerging Trends in Speech Technology: Exploration of new and emerging trends in speech technology, including advancements in AI, machine learning, and deep learning applied to speech.
  • The journal aims to provide a comprehensive platform for researchers, practitioners, and industry professionals to share advancements, research findings, and practical applications in the field of speech technology, fostering innovation and development in this rapidly evolving area.

  • Print ISSN:  13812416

    Electronic ISSN:  15728110

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Arts and Humanities, Language and Linguistics, Computer Science, Computer Vision and Pattern Recognition, Human-Computer Interaction, Software, Social Sciences, Linguistics and Language

  • Publication Frequency:  

  • H Index:  43

  • Best Quartile:

    Q1:  Linguistics and Language

    Q2:  

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  • Cite Score:  5.0

  • SNIP:  0.985

  • Journal Rank(SJR):  0.378