The IEEE/ACM Transactions on Audio, Speech, and Language Processing is a premier scholarly journal covering all aspects of signal processing, machine learning, and artificial intelligence, focusing on audio, speech, and language. This publication bridges the gap between theoretical research and practical applications, publishing original and high-impact contributions in the field.
Topics include speech recognition, speech synthesis, audio coding, music information retrieval, natural language understanding, and dialogue systems. The journal covers a broad range of methodologies, such as deep learning, statistical modeling, and signal analysis, and their application to real-world problems. Indexed in key databases, it is essential for researchers and engineers working in these fields.
Dedicated to promoting cutting-edge research and fostering innovation, the journal serves as a central hub for disseminating knowledge and driving progress in audio, speech, and language processing. By highlighting both theoretical advancements and practical solutions, it contributes to the continued evolution of technology and its application to enhance human-computer interaction.