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Volume 3, Issue 1, January 2023ISSN: 2583-3324

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Mohd Asad . P. Radha Krishna

Received in final form on December 15, 2022

Abstract : Emotions represent the physiological states of humans due to the occurrence of an event. Emotions can be expressed in several ways, such as text, speech, facial expression, or a combination of the above types. In this work, we handled emotion detection in text conversations. This is a challenging task owing to text ambiguity, the presence of intertwined emotions, context dependence, etc. We present an adaptive context-driven emotion detection by employing Bidirectional GRUs and applied to Micros ... >>More

    Views: 160     Downloads: 40

Pankaj Kumar Das

Received in final form on January 05, 2023

Abstract : In this brief communication, we investigate the periodic random error and single error correction capability of cyclic codes by their minimum distance along with an upper bound on the total Hamming weight of all codewords. ... >>More

    Views: 98     Downloads: 25

Vishakha Jadaun . Navnit Jha

Received in final form on December 18, 2022

Abstract : The Lie group of infinitesimal transformations technique and similarity reduction is performed for obtaining an exact invariant solution to generalized Kadomstev-Petviashvili-Boussinesq (gKPB) equation in (3+1)-dimensions. We obtain generators of infinitesimal transformations, which provide us with a set of Lie algebras. In addition, we get geometric vector fields, a commutator table of Lie algebra, and a group of symmetries. A detailed geometrical framework related to the nature of the solutio ... >>More

    Views: 92     Downloads: 13

T. Shivani . P. Pranav . I. Saikalyan . A. Veswanth

Received in final form on January 01, 2023

Abstract : digitalization. In this positioning paper, we analyze the TorToise TTS tool using several performance metrics and testing it exhaustively using different quantitative scaling of audio datasets. TorToise TTS converts given text to fine-tuned input speech corpus. The tool combines the advantages of autoregressive decoders as well as the Denoising Diffusion Probabilistic Models (DDPMs). Our study shows that the tool performs well for real-world scenarios. The conditional input and reranking feature ... >>More

    Views: 135     Downloads: 17