Muhammad Shakeel
Orcid: 0000-0003-3822-0917Affiliations:
- Tokyo Institute of Technology, School of Engineering, Japan
- Sapienza University of Rome, Italy (former)
According to our database1,
Muhammad Shakeel
authored at least 18 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss.
CoRR, 2024
4D ASR: Joint Beam Search Integrating CTC, Attention, Transducer, and Mask Predict Decoders.
CoRR, 2024
Joint Optimization of Streaming and Non-Streaming Automatic Speech Recognition with Multi-Decoder and Knowledge Distillation.
CoRR, 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.
Proceedings of the IEEE International Conference on Acoustics, 2024
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
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Time-synchronous one-pass Beam Search for Parallel Online and Offline Transducers with Dynamic Block Training.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 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
Streaming Automatic Speech Recognition with Re-blocking Processing Based on Integrated Voice Activity Detection.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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
Proceedings of the 2015 IEEE International Symposium on Safety, 2015