Imran A. Sheikh

Orcid: 0000-0001-5041-7398

Affiliations:
  • University of Lorraine, Nancy, LORIA-INRIA


According to our database1, Imran A. Sheikh authored at least 23 papers between 2015 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Training RNN language models on uncertain ASR hypotheses in limited data scenarios.
Comput. Speech Lang., January, 2024

Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications.
CoRR, 2024

2023
End-to-end Joint Rich and Normalized ASR with a limited amount of rich training data.
CoRR, 2023

End-to-End Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Transformer versus LSTM Language Models trained on Uncertain ASR Hypotheses in Limited Data Scenarios.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2020
iNoise Indian Noise Database.
Dataset, April, 2020

On Semi-Supervised LF-MMI Training of Acoustic Models with Limited Data.
Proceedings of the Interspeech 2020, 2020

2019
A Fuzzy Approach to Mute Sensitive Information in Noisy Audio Conversations.
Computación y Sistemas, 2019

A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications.
CoRR, 2019

Label-Driven Time-Frequency Masking for Robust Speech Command Recognition.
Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019

End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios.
Proceedings of the Interspeech 2019, 2019

Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2017
Modelling Semantic Context of OOV Words in Large Vocabulary Continuous Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Topic segmentation in ASR transcripts using bidirectional RNNS for change detection.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Exploiting Semantic and Topic Context to Improve Recognition of Proper Names in Diachronic Audio Documents. (Exploitation de Contexte Sémantique pour Améliorer la Reconnaissance des Noms Propres dans les Documents Audio Diachroniques).
PhD thesis, 2016

Learning Word Importance with the Neural Bag-of-Words Model.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

How Diachronic Text Corpora Affect Context based Retrieval of OOV Proper Names for Audio News.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition.
Proceedings of the Interspeech 2016, 2016

Document level semantic context for retrieving OOV proper names.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Learning to retrieve out-of-vocabulary words in speech recognition.
CoRR, 2015

Study of entity-topic models for OOV proper name retrieval.
Proceedings of the INTERSPEECH 2015, 2015

OOV Proper Name retrieval using topic and lexical context models.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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