IEEE Transactions on Audio, Speech and Language Processing

Aims & Scope

Cessation.

IEEE Transactions on Audio, Speech and Language Processing covers the sciences, technologies and applications relating to the analysis, coding, enhancement, recognition and synthesis of audio, music, speech and language.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Physics and Astronomy, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Front-End Factor Analysis for Speaker Verification

  Citation: 2425

  Authors: Najim, Patrick J, Réda, Pierre, Pierre

• Performance measurement in blind audio source separation

  Citation: 2112

  Authors: E., R., C.

• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

  Citation: 2083

  Authors: G. E., A.

• An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech

  Citation: 1669

  Authors: Cees H., Richard C., Richard, Jesper

• Evaluation of Objective Quality Measures for Speech Enhancement

  Citation: 1355

  Authors: Yi, Philipos C.

• Acoustic Modeling Using Deep Belief Networks

  Citation: 1184

  Authors: Abdel-rahman, George E., Geoffrey

• Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria

  Citation: 719

  Authors: Tuomas

• Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory

  Citation: 596

  Authors: Tomoki, Alan W., Keiichi

• New insights into the noise reduction Wiener filter

  Citation: 512

  Authors: J., S.

• Environmental Sound Recognition With Time–Frequency Audio Features

  Citation: 490

  Authors: Selina, Shrikanth, C.-C. Jay