Mohammad Zeineldeen

According to our database1, Mohammad Zeineldeen authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR.
CoRR, 2024

2023
Chunked Attention-based Encoder-Decoder Model for Streaming Speech Recognition.
CoRR, 2023

Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text.
CoRR, 2023

Improving And Analyzing Neural Speaker Embeddings for ASR.
CoRR, 2023

Enhancing and Adversarial: Improve ASR with Speaker Labels.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Language Model Integration for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech.
CoRR, 2022

Discrete Steps towards Approximate Computing.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Improving the Training Recipe for a Robust Conformer-based Hybrid Model.
Proceedings of the Interspeech 2022, 2022

Automatic Learning of Subword Dependent Model Scales.
Proceedings of the Interspeech 2022, 2022

Conformer-Based Hybrid ASR System For Switchboard Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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