A Study on Feature Selection for Gender Detection in Speech Processing for Assamese Language

Author:

Dutta KankanaORCID,Rehman Rizwan,Mahanta Priyakshi,Sarmah Ankumon

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Talukdar, J., Pathak, N.: Acoustic representation of BODO and RABHA phonemes. Int. J. Comput. Commun. Network. 1(1) (2012)

2. Chakraborty, J., Sarmah, P., Vijaya, S.: Spoken language identification of four Tibet-Burman languages, Oriental COCOSDA (2020)

3. Sarma, P., Mitra, M., Bhuyan, M.P., Deka, V., Sarmah, S., Sarma, S.K.: Automatic vowel recognition from Assamese spoken words. IJITEE 8(10) (2019)

4. Sharma, M., Sarma, K.K.: Dialectal Assamese vowel speech detection using acoustic-phonetic features, KNN and RNN. In: 2nd International Conference on Signal Processing & Integrated Networks (2015)

5. Rehman, R., Bordoloi, K., Dutta, K., Borah, N., Mahanta, P.: Feature selection and classification of speech dataset for gender identification: a machine learning approach. J. Theoretical Appl. Inf. Technol. 99 (2020)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Identification and Analysis of Assamese vowel speech signal using Formant Feature-Fusion and Feed-Forward Neural Network Model;2023 4th International Conference on Computing and Communication Systems (I3CS);2023-03-16

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