Search Results for author: Asad Ullah

Found 6 papers, 0 papers with code

Dialogue Understandability: Why are we streaming movies with subtitles?

no code implementations22 Mar 2024 Helard Becerra, Alessandro Ragano, Diptasree Debnath, Asad Ullah, Crisron Rudolf Lucas, Martin Walsh, Andrew Hines

Watching movies and TV shows with subtitles enabled is not simply down to audibility or speech intelligibility.

Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models

no code implementations22 Sep 2023 Asad Ullah, Alessandro Ragano, Andrew Hines

Our findings suggest that for resource constrained languages, in-domain synthetic augmentation can outperform knowledge transfer from accented or other language speech.

Representation Learning Transfer Learning

Unsupervised Automatic Speech Recognition: A Review

no code implementations9 Jun 2021 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 difficult or expensive to acquire for all languages of interest.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Code Switching Language Model Using Monolingual Training Data

no code implementations23 Dec 2020 Asad Ullah, Tauseef Ahmed

From the results, it is concluded that using alternate batches of monolingual data in training reduced the perplexity of a CS language model.

Language Modelling

Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal

no code implementations2 Feb 2020 Asad Ullah, Sarwan Ali, Imdadullah Khan, Muhammad Asad Khan, Safiullah Faizullah

In this paper, we investigate the effect of the analysis window and feature selection on classification accuracy of different hand and wrist movements using time-domain features.

BIG-bench Machine Learning Classification +3

Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data

no code implementations5 Jan 2019 Usman Ahmad, Hong Song, Awais Bilal, Shahid Mahmood, Asad Ullah, Uzair Saeed

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 network?

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