74 citations · 121 across the 6 of their papers we have counts for
6 papers
Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models
Asad Ullah, Alessandro Ragano, Andrew Hines
Self-supervised representation learning (SSRL) has demonstrated superior performance than supervised models for tasks including phoneme recognition. Training SSRL models poses a ch…
Unsupervised Automatic Speech Recognition: A Review
Hanan Aldarmaki, Asad Ullah, Nazar Zaki
Automatic Speech Recognition (ASR) systems can be trained to achieve remarkable performance given large amounts of manually transcribed speech, but large labeled data sets can be d…
Code Switching Language Model Using Monolingual Training Data
Asad Ullah, Tauseef Ahmed
Training a code-switching (CS) language model using only monolingual data is still an ongoing research problem. In this paper, a CS language model is trained using only monolingual…
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal
Asad Ullah, Sarwan Ali, Imdadullah Khan +2
Electromyography (EMG) signals have been successfully employed for driving prosthetic limbs of a single or double degree of freedom. This principle works by using the amplitude of…
Advanced Rich Transcription System for Estonian Speech
Tanel Alumäe, Ottokar Tilk, Asadullah
This paper describes the current TTÜ speech transcription system for Estonian speech. The system is designed to handle semi-spontaneous speech, such as broadcast conversations, lec…
Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
Usman Ahmad, Hong Song, Awais Bilal +3
The Artificial Neural Networks (ANNs) have been originally designed to function like a biological neural network, but does an ANN really work in the same way as a biological neural…