EURASIP Journal on Audio Speech and Music Processing

Papers
(The H4-Index of EURASIP Journal on Audio Speech and Music Processing is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Hybrid lightweight temporal-frequency analysis network for multi-channel speech enhancement52
Learning domain-heterogeneous speaker recognition systems with personalized continual federated learning50
Advancing guitar emotion recognition through audio data augmentation to enhance smart musical instruments44
MIRACLE—a microphone array impulse response dataset for acoustic learning38
Generating chord progression from melody with flexible harmonic rhythm and controllable harmonic density32
Domain-weighted transfer learning and discriminative embeddings for low-resource speaker verification31
A simplified and controllable model of mode coupling for addressing nonlinear phenomena in sound synthesis processes30
Compression of room impulse responses for compact storage and fast low-latency convolution26
Speech-dependent data augmentation for own voice reconstruction with hearable microphones in noisy environments26
Supervised Attention Multi-Scale Temporal Convolutional Network for monaural speech enhancement24
AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks23
Parameter-efficient adaptation with multi-channel adversarial training for far-field speech recognition20
Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech19
Sound recurrence analysis for acoustic scene classification19
Attention mechanism combined with residual recurrent neural network for sound event detection and localization17
Investigations on higher-order spherical harmonic input features for deep learning-based multiple speaker detection and localization17
Three-stage training and orthogonality regularization for spoken language recognition17
0.28685998916626