Marzieh Razavi

Orcid: 0000-0001-6332-9661

According to our database1, Marzieh Razavi authored at least 13 papers between 2011 and 2020.

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

Timeline

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Bibliography

2020
Towards Multilingual Sign Language Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models.
Speech Commun., 2018

SMILE Swiss German Sign Language Dataset.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017
A Posterior-Based Multistream Formulation for G2P Conversion.
IEEE Signal Process. Lett., 2017

2016
Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework.
Speech Commun., 2016

Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery.
Proceedings of the Interspeech 2016, 2016

2015
An HMM-based formalism for automatic subword unit derivation and pronunciation generation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
On recognition of non-native speech using probabilistic lexical model.
Proceedings of the INTERSPEECH 2014, 2014

On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Probabilistic lexical modeling and unsupervised training for zero-resourced ASR.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2011
An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011


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