2 citations · 3 across the 9 of their papers we have counts for
9 papers
Mandarin Humorous Homophone Recognition and Disambiguation in Automatic Speech Recognition
Sicheng Jin, Jinghao Chen, Liuheng Zhou +3
Mandarin homophones remain a key challenge to improving automatic speech recognition (ASR) accuracy due to the amount of potential homophones. Mandarin speakers use this feature ca…
Using Phonological-Level Wav2Vec2 for Mandarin Automatic Mispronunciation Detection and Diagnosis
Jinghao Chen, Mostafa Shahin, Beena Ahmed
Automatic mispronunciation detection and diagnosis (MDD) plays a crucial role in L2 Mandarin pronunciation learning. While end-to-end (E2E) based MDD methods have substantially imp…
System X: A Mobile Voice-Based AI System for EMR Generation and Clinical Decision Support in Low-Resource Maternal Healthcare
Maryam Mustafa, Umme Ammara, Amna Shahnawaz +5
We present the design, implementation, and in-situ deployment of a smartphone-based voice-enabled AI system for generating electronic medical records (EMRs) and clinical risk alert…
Zero-Shot Cognitive Impairment Detection from Speech Using AudioLLM
Mostafa Shahin, Beena Ahmed, Julien Epps
Cognitive impairment (CI) is of growing public health concern, and early detection is vital for effective intervention. Speech has gained attention as a non-invasive and easily col…
Rethinking Mamba in Speech Processing by Self-Supervised Models
Xiangyu Zhang, Jianbo Ma, Mostafa Shahin +2
The Mamba-based model has demonstrated outstanding performance across tasks in computer vision, natural language processing, and speech processing. However, in the realm of speech…
Auto-Landmark: Acoustic Landmark Dataset and Open-Source Toolkit for Landmark Extraction
Xiangyu Zhang, Daijiao Liu, Tianyi Xiao +5
In the speech signal, acoustic landmarks identify times when the acoustic manifestations of the linguistically motivated distinctive features are most salient. Acoustic landmarks h…
Phonological Level wav2vec2-based Mispronunciation Detection and Diagnosis Method
Mostafa Shahin, Julien Epps, Beena Ahmed
The automatic identification and analysis of pronunciation errors, known as Mispronunciation Detection and Diagnosis (MDD) plays a crucial role in Computer Aided Pronunciation Lear…
Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations
Renee Lu, Mostafa Shahin, Beena Ahmed
Children's speech recognition is a vital, yet largely overlooked domain when building inclusive speech technologies. The major challenge impeding progress in this domain is the lac…
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning
Mostafa Shahin, Beena Ahmed, Julien Epps
One of the major challenges in acoustic modelling of child speech is the rapid changes that occur in the children's articulators as they grow up, their differing growth rates and t…