Srinivasan Umesh
Professor
+91-44-2257-4461 (Work)
Publications - 109Publications - 109
Publications - 109Publications (109)
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ConferencesCCC-WAV2VEC 2.0: Clustering AIDED Cross Contrastive Self-Supervised Learning of Speech Representations2023 | Institute of Electrical and Electronics Engineers Inc.
OtherInvestigation of Methods to Improve the Recognition Performance of Tamil-English Code-Switched Data in Transformer Framework2020 | Institute of Electrical and Electronics Engineers Inc.- OtherImproving the Performance of Transformer Based Low Resource Speech Recognition for Indian Languages2020 | Institute of Electrical and Electronics Engineers Inc.
- ArticlesImproving acoustic models in TORGO dysarthric speech database2018 | Institute of Electrical and Electronics Engineers Inc.
- ArticlesFMLLR Speaker Normalization with i-Vector: In Pseudo-FMLLR and Distillation Framework2018 | Institute of Electrical and Electronics Engineers Inc.
- OtherCorrelation networks for speaker normalization in automatic speech recognition2018 | International Speech Communication Association
- OtherMessage from general Department and co-chairs2018 | International Speech Communication Association
- OtherArticulatory and stacked bottleneck features for low resource speech recognition2018 | International Speech Communication Association
- ConferencesGeneralized distillation framework for speaker normalization2017 | International Speech Communication Association
Open Access - ConferencesDNN acoustic models for dysarthric speech2017 | Institute of Electrical and Electronics Engineers Inc.
- ConferencesAddressing data sparsity in DNN acoustic modeling2017 | Institute of Electrical and Electronics Engineers Inc.
- ConferencesJoint estimation of articulatory features and acoustic models for low-resource languages2017 | International Speech Communication AssociationOpen Access
- ConferencesOn improving acoustic models for TORGO dysarthric speech database2017 | International Speech Communication Association
- ConferencesTransfer learning and distillation techniques to improve the acoustic modeling of low resource languages2017 | International Speech Communication AssociationOpen Access
- ConferencesOvercoming data sparsity in acoustic modeling of low-resource language by borrowing data and model parameters from high-resource languages2016 | International Speech and Communication AssociationOpen Access
- ConferencesDNNs for unsupervised extraction of pseudo FMLLR features without explicit adaptation data2016 | International Speech and Communication AssociationOpen Access
- ConferencesArticulatory feature extraction using CTC to build articulatory classifiers without forced frame alignments for speech recognition2016 | International Speech and Communication AssociationOpen Access
