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ORCIDMarzieh Razavi
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2020 – today
- 2020
[c10]Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
Towards Multilingual Sign Language Recognition. ICASSP 2020: 6309-6313
2010 – 2019
- 2019
- [c9]Sandrine Tornay, Marzieh Razavi, Necati Cihan Camgöz, Richard Bowden
, Mathew Magimai-Doss:
HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing. ICASSP 2019: 2817-2821 - 2018
- [j3]Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss:
Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models. Speech Commun. 96: 168-183 (2018) - [c8]Sarah Ebling, Necati Cihan Camgöz, Penny Boyes Braem, Katja Tissi, Sandra Sidler-Miserez, Stephanie Stoll, Simon Hadfield, Tobias Haug, Richard Bowden, Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
SMILE Swiss German Sign Language Dataset. LREC 2018 - 2017
- [j2]Marzieh Razavi, Mathew Magimai-Doss:
A Posterior-Based Multistream Formulation for G2P Conversion. IEEE Signal Process. Lett. 24(4): 475-479 (2017) - 2016
- [j1]Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss:
Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework. Speech Commun. 80: 1-21 (2016) - [c7]Marzieh Razavi, Mathew Magimai-Doss:
Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery. INTERSPEECH 2016: 3873-3877 - 2015
- [c6]Marzieh Razavi, Mathew Magimai-Doss:
An HMM-based formalism for automatic subword unit derivation and pronunciation generation. ICASSP 2015: 4639-4643 - [c5]Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss:
Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling. ICASSP 2015: 5176-5180 - 2014
- [c4]Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss:
On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches. ICASSP 2014: 7659-7663 - [c3]Marzieh Razavi, Mathew Magimai-Doss:
On recognition of non-native speech using probabilistic lexical model. INTERSPEECH 2014: 26-30 - 2013
- [c2]Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss:
Probabilistic lexical modeling and unsupervised training for zero-resourced ASR. ASRU 2013: 446-451 - 2011
- [c1]Gholamreza Haffari, Marzieh Razavi, Anoop Sarkar:
An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing. ACL (2) 2011: 710-714
Coauthor Index
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