1 citations · 3 across the 8 of their papers we have counts for
11 papers
All In Good Time: Causality-Aware Framework for LLM-Based Simultaneous Speech-to-Speech Translation
Amir Hussein, Enas Albasiri, Travis M. Bartley +7
Large Language Models (LLMs) have shown strong performance in low-resource offline translation; however, extending them to simultaneous speech-to-speech translation (Simul-S2ST) re…
CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
Brian Yan, Injy Hamed, Shuichiro Shimizu +24
We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4…
Enhancing End-to-End Conversational Speech Translation Through Target Language Context Utilization
Amir Hussein, Brian Yan, Antonios Anastasopoulos +2
Incorporating longer context has been shown to benefit machine translation, but the inclusion of context in end-to-end speech translation (E2E-ST) remains under-studied. To bridge…
Speech collage: code-switched audio generation by collaging monolingual corpora
Amir Hussein, Dorsa Zeinali, Ondřej Klejch +6
Designing effective automatic speech recognition (ASR) systems for Code-Switching (CS) often depends on the availability of the transcribed CS resources. To address data scarcity,…
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition
Injy Hamed, Amir Hussein, Oumnia Chellah +5
Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition. In this paper, we focus on the question of robust and fair evaluation m…
Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition
Amir Hussein, Shammur Absar Chowdhury, Ahmed Abdelali +3
The pervasiveness of intra-utterance code-switching (CS) in spoken content requires that speech recognition (ASR) systems handle mixed language. Designing a CS-ASR system has many…
Arabic Code-Switching Speech Recognition using Monolingual Data
Ahmed Ali, Shammur Chowdhury, Amir Hussein +1
Code-switching in automatic speech recognition (ASR) is an important challenge due to globalization. Recent research in multilingual ASR shows potential improvement over monolingua…
QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus
Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury +1
We introduce the largest transcribed Arabic speech corpus, QASR, collected from the broadcast domain. This multi-dialect speech dataset contains 2,000 hours of speech sampled at 16…
Balanced End-to-End Monolingual pre-training for Low-Resourced Indic Languages Code-Switching Speech Recognition
Amir Hussein, Shammur Chowdhury, Najim Dehak +1
The success in designing Code-Switching (CS) ASR often depends on the availability of the transcribed CS resources. Such dependency harms the development of ASR in low-resourced la…
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR
Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali +1
With the advent of globalization, there is an increasing demand for multilingual automatic speech recognition (ASR), handling language and dialectal variation of spoken content. Re…
Arabic Speech Recognition by End-to-End, Modular Systems and Human
Amir Hussein, Shinji Watanabe, Ahmed Ali
Recent advances in automatic speech recognition (ASR) have achieved accuracy levels comparable to human transcribers, which led researchers to debate if the machine has reached hum…