Muhammad Huzaifah

Researcher, I2R, A*STAR

Joined

October 2024

Names

Muhammad Huzaifah (Preferred)

Emails

****@i2r.a-star.edu.sg (Confirmed)

****@gmail.com

Personal Links

Career & Education History

Researcher

I2R, A*STAR (i2r.a-star.edu.sg)

2020 – Present

PhD student

National University of Singapore (nus.edu.sg)

2016 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Evaluating Code-Switching Translation with Large Language Models
Muhammad Huzaifah, Weihua Zheng, Nattapol Chanpaisit, Kui Wu
- LREC/COLING 2024
- Readers: Everyone
MERaLiON-SpeechEncoder: Towards a Speech Foundation Model for Singapore and Beyond
Muhammad Huzaifah, Geyu Lin, Tianchi Liu, Hardik B. Sailor, Kye Min Tan, Tarun Kumar Vangani, Qiongqiong Wang, Jeremy H. M. Wong, Nancy F. Chen, Ai Ti Aw
- CoRR 2024
- Readers: Everyone
I2R's End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task
Muhammad Huzaifah, Kye Min Tan, Richeng Duan
- IWSLT@ACL 2023
- Readers: Everyone
An Analysis of Semantically-Aligned Speech-Text Embeddings
Muhammad Huzaifah, Ivan Kukanov
- SLT 2022
- Readers: Everyone
Applying visual domain style transfer and texture synthesis techniques to audio: insights and challenges
Muhammad Huzaifah bin Md Shahrin, Lonce Wyse
- Neural Comput. Appl. 2020
- Readers: Everyone
MTCRNN: A multi-scale RNN for directed audio texture synthesis
Muhammad Huzaifah, Lonce Wyse
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- CoRR 2020
- Readers: Everyone
Deep generative models for musical audio synthesis
Muhammad Huzaifah, Lonce Wyse
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- CoRR 2020
- Readers: Everyone
Applying Visual Domain Style Transfer and Texture Synthesis Techniques to Audio - Insights and Challenges
Muhammad Huzaifah, Lonce Wyse
- CoRR 2019
- Readers: Everyone
Conditioning a Recurrent Neural Network to synthesize musical instrument transients
Lonce Wyse, Muhammad Huzaifah
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- CoRR 2019
- Readers: Everyone
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks
Muhammad Huzaifah
- CoRR 2017
- Readers: Everyone