3 citations · 5 across the 5 of their papers we have counts for
5 papers
Cochleagram-based Noise Adapted Speaker Identification System for Distorted Speech
Sabbir Ahmed, Nursadul Mamun, Md Azad Hossain
Speaker Identification refers to the process of identifying a person using one's voice from a collection of known speakers. Environmental noise, reverberation and distortion make t…
EmoFormer: A Text-Independent Speech Emotion Recognition using a Hybrid Transformer-CNN model
Rashedul Hasan, Meher Nigar, Nursadul Mamun +1
Speech Emotion Recognition is a crucial area of research in human-computer interaction. While significant work has been done in this field, many state-of-the-art networks struggle…
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network
Shamin Bin Habib Avro, Taieba Taher, Nursadul Mamun
Emotion recognition is a critical task in human-computer interaction, enabling more intuitive and responsive systems. This study presents a multimodal emotion recognition system th…
Quantifying Cochlear Implant Users' Ability for Speaker Identification using CI Auditory Stimuli
Nursadul Mamun, Ria Ghosh, John H. L. Hansen
Speaker recognition is a biometric modality that uses underlying speech information to determine the identity of the speaker. Speaker Identification (SID) under noisy conditions is…
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients
Nursadul Mamun, Soheil Khorram, John H. L. Hansen
Attempts to develop speech enhancement algorithms with improved speech intelligibility for cochlear implant (CI) users have met with limited success. To improve speech enhancement…