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verified SJR 1,061 · Q1 • database Scopus / SJR & Web of Science indexed
IEEE/ACM Transactions on Audio Speech and Language Processing
United States · IEEE Advancing Technology fo...
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IEEE/ACM Transactions on Audio Speech and Language Processing

IEEE/ACM Transactions on Audio Speech and Language Processing is a journal indexed in SJR in Electrical and Electronic Engineering and Computational Mathematics with an H index of 92. It has an SJR impact factor of 1,061 and it has a best quartile of Q1. It has an SJR impact factor of 1,061.

ISSN: 2329-9290
Editorial: IEEE Advancing Technology for Humanity
Category: Electrical and Electronic Engineering
Indexation: verifiedScopus / SJR verifiedWeb of Science

Unclaimed profile — some fields may be incomplete.

open_in_new Portal NPD menu_book Guidelines NPD
schedule Datos CoP · solo campos en BD
SJR Impact Factor trending_up
1,061 Q1
H-index 92
Tasa de Aceptación pie_chart
29% Selectiva
Fuente Acceptance_Rate
Tiempo a publicación hourglass_top
NPD
Campo Sin dato
Coste de Publicación (APC) payments
NPD Subscription
Ruta Non-OA NPD

Metrics

Campos Scimago / CoP — sin series inventadas

Scopus / SJR Web of Science

SJR Impact

1,061

H-index

92

Docs (year)

428

Docs 3y

850

Total refs

25703

Cites 3y

6788

Citable 3y

849

Cites/Doc 2y

6.43

Ref/Doc

60.05

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Progressive Joint Modeling in Unsupervised Single-Channel Overlapped Speech Recognition

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Using Phonetic Posteriorgram Based Frame Pairing for Segmental Accent Conversion

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Toward Fail-Safe Speaker Recognition: Trial-Based Calibration With a Reject Option

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Wavefield Analysis Over Large Areas Using Distributed Higher Order Microphones

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Wave-Domain Residual Echo Reduction Using Subspace Tracking

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Use of Micro-Modulation Features in Large Vocabulary Continuous Speech Recognition Tasks

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Unsupervised Speaker Identification in TV Broadcast Based on Written Names

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Two-Stage Filter-Bank System for Improved Single-Channel Noise Reduction in Hearing Aids

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Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement

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Robust Estimation and Tracking of Pitch Period Using an Efficient Bayesian Filter

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Quasi Closed Phase Glottal Inverse Filtering Analysis With Weighted Linear Prediction

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Proportionate Adaptive Filtering for Block-Sparse System Identification

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Robust Estimation of Non-Stationary Noise Power Spectrum for Speech Enhancement

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Prediction of Speech Intelligibility Using a Neurogram Orthogonal Polynomial Measure (NOPM)

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Online Speech Dereverberation Using Kalman Filter and EM Algorithm

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Null-Steering Beamformer-Based Feedback Cancellation for Multi-Microphone Hearing Aids With Incoming Signal Preservation

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Non-Intrusive Speech Quality Prediction Using Modulation Energies and LSTM-Network

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Multichannel Source Separation and Tracking With RANSAC and Directional Statistics

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Multichannel Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization with Spectrogram Restoration

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Multichannel Audio Source Separation With Deep Neural Networks

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Modal and Nonmodal Voice Quality Classification Using Acoustic and Electroglottographic Features

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Mispronunciation Detection and Diagnosis in L2 English Speech Using Multidistribution Deep Neural Networks

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Localization of Multiple Speakers under High Reverberation using a Spherical Microphone Array and the Direct-Path Dominance Test

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Listening and Grouping: An Online Autoregressive Approach for Monaural Speech Separation

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