Imran A. Sheikh

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Training RNN language models on uncertain ASR hypotheses in limited data scenarios.

Imran A. Sheikh, Emmanuel Vincent, Irina Illina

Comput. Speech Lang., January, 2024

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

Can Cui, Imran A. Sheikh, Mostafa Sadeghi, Emmanuel Vincent

Proceedings of the Odyssey 2024: The Speaker and Language Recognition Workshop, 2024

2023

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

Can Cui, Sheikh Imran Ahamad, Mostafa Sadeghi, Emmanuel Vincent

CoRR, 2023

End-to-End Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis.

Can Cui, Imran A. Sheikh, Mostafa Sadeghi, Emmanuel Vincent

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.

Imran A. Sheikh, Emmanuel Vincent, Irina Illina

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2020

iNoise Indian Noise Database.

Sunil Kumar Kopparapu, Imran A. Sheikh, Venkata Krishna Thanneeru

Dataset, April, 2020

On Semi-Supervised LF-MMI Training of Acoustic Models with Limited Data.

Imran A. Sheikh, Emmanuel Vincent, Irina Illina

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

A Fuzzy Approach to Mute Sensitive Information in Noisy Audio Conversations.

Imran A. Sheikh, Balamallikarjuna Garlapati, Srinivas Chalamala, Sunil Kumar Kopparapu

Computación y Sistemas, 2019

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

Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu

CoRR, 2019

Label-Driven Time-Frequency Masking for Robust Speech Command Recognition.

Meet H. Soni, Imran A. Sheikh, Sunil Kumar Kopparapu

Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019

End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios.

Swapnil Bhosale, Imran A. Sheikh, Sri Harsha Dumpala, Sunil Kumar Kopparapu

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks.

Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach.

Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2017

Modelling Semantic Context of OOV Words in Large Vocabulary Continuous Speech Recognition.

Imran A. Sheikh, Dominique Fohr, Irina Illina, Georges Linarès

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Topic segmentation in ASR transcripts using bidirectional RNNS for change detection.

Imran A. Sheikh, Dominique Fohr, Irina Illina

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).

Imran A. Sheikh

PhD thesis, 2016

Learning Word Importance with the Neural Bag-of-Words Model.

Imran A. Sheikh, Irina Illina, Dominique Fohr, Georges Linarès

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.

Imran A. Sheikh, Irina Illina, Dominique Fohr

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.

Imran A. Sheikh, Irina Illina, Dominique Fohr, Georges Linarès

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Document level semantic context for retrieving OOV proper names.

Imran A. Sheikh, Irina Ulina, Dominique Fohr, Georges Linarès

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

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

Imran A. Sheikh, Irina Illina, Dominique Fohr, Georges Linarès

CoRR, 2015

Study of entity-topic models for OOV proper name retrieval.

Imran A. Sheikh, Irina Illina, Dominique Fohr

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

OOV Proper Name retrieval using topic and lexical context models.

Imran A. Sheikh, Irina Illina, Dominique Fohr, Georges Linarès

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015