International Journal of Speech Technology : Impact Factor & More

A computationally efficient speech emotion recognition system employing machine learning classifiers and ensemble learning

Speech recognition based on the transformer's multi-head attention in Arabic

Feature extraction using GTCC spectrogram and ResNet50 based classification for audio spoof detection

Retraction Note: Computer vision for facial analysis using human–computer interaction models

Continuous feature learning representation to XGBoost classifier on the aggregation of discriminative Features using DenseNet-121 architecture and ResNet 18 architectures towards Apraxia Recognition in the Child Speech Therapy

Speech recognition model design for Sundanese language using WAV2VEC 2.0

A computationally efficient speech emotion recognition system employing machine learning classifiers and ensemble learning

Speech recognition based on the transformer's multi-head attention in Arabic

Feature extraction using GTCC spectrogram and ResNet50 based classification for audio spoof detection

Retraction Note: Computer vision for facial analysis using human–computer interaction models

Continuous feature learning representation to XGBoost classifier on the aggregation of discriminative Features using DenseNet-121 architecture and ResNet 18 architectures towards Apraxia Recognition in the Child Speech Therapy

Speech recognition model design for Sundanese language using WAV2VEC 2.0