Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Syed Shahnawazuddin"'
Publikováno v:
Circuits, Systems, and Signal Processing. 41:2205-2220
Developing an automatic speech recognition (ASR) system for children’s speech is extremely challenging due to the unavailability of data from the child domain for the majority of the languages. Consequently, in such zero-resource scenarios, we are
Publikováno v:
Interspeech 2022.
Publikováno v:
Applied Acoustics. 210:109412
Publikováno v:
2022 IEEE International Conference on Signal Processing and Communications (SPCOM).
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:2009-2021
Histogram equalization is a famous method for enhancing the contrast and image features. However, in few cases, it causes the overenhancement, and hence demolishes the natural display of the image. Therefore, in this article, a new fuzzy clustering b
Publikováno v:
Neural Computing and Applications. 33:271-299
In this paper, we have proposed a fusion-based context-sensitive Masi energy curve model for multi-level thresholding exploiting cuttlefish algorithm (CFA). The proposed algorithm is simple and very efficient for the task of color image segmentation.
Publikováno v:
Pattern Recognition Letters. 131:213-218
In this paper, the effect of prosody-modification-based data augmentation is explored in the context of automatic speech recognition (ASR). The primary motive is to develop ASR systems that are less affected by speaker-dependent acoustic variations.
Publikováno v:
Proceedings of the Seventh International Conference on Mathematics and Computing ISBN: 9789811668890
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12baf37b7b1b47601c18a25a95ea6101
https://doi.org/10.1007/978-981-16-6890-6_19
https://doi.org/10.1007/978-981-16-6890-6_19
Publikováno v:
ICCCNT
A simple and effective approach for color image contrast enhancement is proposed in this paper. The proposed approach effectively combines linear and discrete wavelet transform (DWT) based fusion methods for contrast enhancement. In the proposed appr