Articulatory Features for Multilingual Phone Recognition
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-80741-2_5
Reference12 articles.
1. K.E. Manjunath, K.S. Rao, D.B. Jayagopi, V. Ramasubramanian, Indian languages ASR: a multilingual phone recognition framework with IPA based common phone-set, predicted articulatory features and feature fusion in INTERSPEECH, Hyderabad (2018), pp. 1016–1020. https://doi.org/10.21437/Interspeech.2018-2529
2. K.E. Manjunath, D.B. Jayagopi, K.S. Rao, V. Ramasubramanian, Articulatory Feature based Methods for Performance Improvement of Multilingual Phone Recognition Systems using Indian Languages. Sadhana (Springer) (2020)
3. O. Cetin, A. Kantor, S. King, C. Bartels, Magimai-Doss, J. Frankel, K. Livescu, An articulatory feature-based tandem approach and factored observation modeling, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2007), Honolulu, HI (2007), pp. IV-645–IV-648. https://doi.org/10.1109/ICASSP.2007.366995
4. H. Hermansky, D.P. Ellis, S. Sharma, Tandem Connectionist Feature Extraction for Conventional HMM Systems, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 3 (2000), pp. 1635–1638. https://doi.org/10.1109/ICASSP.2000.862024
5. P. Lal, S. King, Cross-lingual automatic speech recognition using tandem features. IEEE Trans. Audio Speech Lang. Process. 21(12), 2506–2515 (2013). https://doi.org/10.1109/TASL.2013.2277932
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