Continuous Speech Recognition in Hindi for Health Care Using Deep Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5191-6_1
Reference12 articles.
1. Latif S, Qadir J, Qayyum A, Usama M, Younis S (2021) Speech technology for healthcare: opportunities, challenges, and state of the art. IEEE Rev Biomed Eng 14:342–356. https://doi.org/10.1109/RBME.2020.3006860
2. Kumari P, Shakina Deiv D, Bhattacharya M (2014) Automatic speech recognition of accented Hindi data. In: International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), pp 68–76. https://doi.org/10.1109/ICCPEIC.2014.6915342
3. Kuamr A, Dua M, Choudhary T (2014) Continuous Hindi speech recognition using Gaussian mixture HMM. IEEE students’ conference on electrical, electronics and computer science 2014:1–5. https://doi.org/10.1109/SCEECS.2014.6804519
4. Karra S, Mayuka S, Radhika N, Priya K, Deepa G (2020) Kaldi recipe in Hindi for word level recognition and phoneme level transcription. Proc Comput Sci 171:2476–2485. https://doi.org/10.1016/j.procs.2020.04.268
5. Amin MAA, Islam MT, Kibria S, Rahman MS (2019) Continuous Bengali speech recognition based on deep neural network. In: International conference on Electrical, Computer and Communication Engineering (ECCE), pp 1–6. https://doi.org/10.1109/ECACE.2019.8679341
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