Author of the publication

DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data.

, , , and . INTERSPEECH, page 3479-3483. ISCA, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition., , and . INTERSPEECH, page 798-802. ISCA, (2016)Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages., , and . INTERSPEECH, page 2153-2157. ISCA, (2017)On Improving Acoustic Models for TORGO Dysarthric Speech Database., , and . INTERSPEECH, page 2695-2699. ISCA, (2017)DNNs for unsupervised extraction of pseudo speaker-normalized features without explicit adaptation data., , and . Speech Commun., (2017)Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages., , and . INTERSPEECH, page 3037-3041. ISCA, (2016)Cross-lingual acoustic modeling for Indian languages based on Subspace Gaussian Mixture Models., , , and . NCC, page 1-5. IEEE, (2014)A data-driven phoneme mapping technique using interpolation vectors of phone-cluster adaptive training., , and . SLT, page 36-41. IEEE, (2014)FMLLR Speaker Normalization With i-Vector: In Pseudo-FMLLR and Distillation Framework., , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (4): 797-805 (2018)DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data., , , and . INTERSPEECH, page 3479-3483. ISCA, (2016)Generalized Distillation Framework for Speaker Normalization., , , and . INTERSPEECH, page 739-743. ISCA, (2017)