Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jainath Yadav"'
Publikováno v:
Circuits, Systems, and Signal Processing. 40:466-489
Speech emotion recognition (SER) systems are often evaluated in a speaker-independent manner. However, the variation in the acoustic features of different speakers used during training and evaluation results in a significant drop in the accuracy duri
Autor:
Rajeev Kumar, Jainath Yadav
Publikováno v:
Journal of Information Security and Applications. 68:103218
Publikováno v:
Speech Communication. 96:142-149
The main objective of this work is to enhance the performance of epoch detection in the case of emotional speech. Existing epoch estimation methods require either modeling of the vocal-tract system or a priori information of the average pitch period.
Autor:
Jainath Yadav
Publikováno v:
Computer Speech & Language. 70:101231
The vowel transition regions are the crucial landmarks in the speech signal. These vital regions are present at both ends of the vowel. They lie in the junction between a consonant and a vowel (CV) regions. This region plays an important role in nume
Autor:
Sandeep Kumar, Jainath Yadav
Publikováno v:
Journal of Physics: Conference Series. 1950:012049
Long Short-Term Memory (LSTM) captures long-term dependencies accurately than other types of neural networks, and it is frequently used in deep learning. In this work, we have explored Deep LSTM with a dropout layer that minimizes the training overfi
Autor:
K. Sreenivasa Rao, Jainath Yadav
Publikováno v:
International Journal of Speech Technology. 21:421-433
In this work, we propose a mapping function based feature transformation framework for developing consonant–vowel (CV) recognition system in the emotional environment. An effective way of conveying messages is by expressing emotions during human co
Publikováno v:
Indian Journal of Science and Technology. 10:1-8
Background: Sarcasm detection in twitter is a very important task as it had helped in the analysis of tweets. With the help of sarcasm detection, companies could analyze the feelings of user about their products. This is helpful for companies, as the
Publikováno v:
Digital Signal Processing. 110:102951
While speech emotion recognition (SER) has been an active research field since the last three decades, the techniques that deal with the natural environment have only emerged in the last decade. These techniques have reduced the mismatch in the distr
Autor:
Jainath Yadav, Satrughan Kumar Singh
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1084:012021
Machine learning is currently playing a vital role in the next generation of the computer world. Automatic pattern recognition has become an important issue of image processing and machine learning. Handwritten digits and alphabets are not arranged i
Effective compression and decompression coding techniques using multilevel DWT decomposition and DCT
Autor:
Rajeev Kumar, Jainath Yadav
Publikováno v:
International Journal of Signal and Imaging Systems Engineering. 12:71
Data compression was introduced to utilise the available bandwidth efficiently and also to reduce the storage capacity. This paper presents effective compression and decompression coding techniques...