74 citations · 111 across the 33 of their papers we have counts for
5 papers · 1 filter
Dialectal Coverage And Generalization in Arabic Speech Recognition
Amirbek Djanibekov, Hawau Olamide Toyin, Raghad Alshalan +2
Developing robust automatic speech recognition (ASR) systems for Arabic requires effective strategies to manage its diversity. Existing ASR systems mainly cover the modern standard…
STTATTS: Unified Speech-To-Text And Text-To-Speech Model
Hawau Olamide Toyin, Hao Li, Hanan Aldarmaki
Speech recognition and speech synthesis models are typically trained separately, each with its own set of learning objectives, training data, and model parameters, resulting in two…
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement
Ibrahim Aldarmaki, Thamar Solorio, Bhiksha Raj +1
Neural multi-channel speech enhancement models, in particular those based on the U-Net architecture, demonstrate promising performance and generalization potential. These models ty…
PALM: Few-Shot Prompt Learning for Audio Language Models
Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi +1
Audio-Language Models (ALMs) have recently achieved remarkable success in zero-shot audio recognition tasks, which match features of audio waveforms with class-specific text prompt…
Mixat: A Data Set of Bilingual Emirati-English Speech
Maryam Al Ali, Hanan Aldarmaki
This paper introduces Mixat: a dataset of Emirati speech code-mixed with English. Mixat was developed to address the shortcomings of current speech recognition resources when appli…