Muhammad Shakeel

Orcid: 0000-0003-3822-0917

Affiliations:
  • Tokyo Institute of Technology, School of Engineering, Japan
  • Sapienza University of Rome, Italy (former)


According to our database1, Muhammad Shakeel authored at least 13 papers between 2015 and 2024.

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Timeline

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Bibliography

2024
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification.
CoRR, 2024

OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer.
CoRR, 2024

Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search.
CoRR, 2024

2023
DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models.
CoRR, 2023

Metric-Based Multimodal Meta-Learning for Human Movement Identification Via Footstep Recognition.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

FPGA based Power-Efficient Edge Server to Accelerate Speech Interface for Socially Assistive Robotics.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders.
CoRR, 2022

Streaming Automatic Speech Recognition with Re-blocking Processing Based on Integrated Voice Activity Detection.
Proceedings of the Interspeech 2022, 2022

2021
Detecting earthquakes: a novel deep learning-based approach for effective disaster response.
Appl. Intell., 2021

Assessment of a Beamforming Implementation Developed for Surface Sound Source Separation.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

EMC: Earthquake Magnitudes Classification on Seismic Signals via Convolutional Recurrent Networks.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

2015
Environmental sensing using millimeter wave sensor for extreme conditions.
Proceedings of the 2015 IEEE International Symposium on Safety, 2015


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