Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
2 results
Search Results
Item SPIRE-SIES: A Spontaneous Indian English Speech Corpus(Institute of Electrical and Electronics Engineers Inc., 2023) Singh, A.; Shah, C.; Varadaraj, R.; Chauhan, S.; Ghosh, P.K.In this paper, we present a 170.83 hour Indian English spontaneous speech dataset. Lack of Indian English speech data is one of the major hindrances in developing robust speech systems which are adapted to the Indian speech style. Moreover this scarcity is even more for spontaneous speech. This corpus is crowd-sourced over varied Indian nativities, genders and age groups. Traditional spontaneous speech collection strategies involve capturing of speech during interviewing or conversations. In this study, we use images as stimuli to induce spontaneity in speech. Transcripts for 23 hours is generated and validated which can serve as a spontaneous speech ASR benchmark. Quality of the corpus is validated with voice activity detection based segmentation, gender verification and image semantic correlation. Which determines a relationship between image stimulus and recorded speech using caption keywords derived from Image-to-Text model and high occurring words derived from whisper ASR's generated transcripts. © 2023 IEEE.Item A Novel Orbirect Inductive Coil Structure for Wireless Inductive Power Transfer in Electric Vehicle Battery Charging Applications(IEEE Computer Society, 2025) Kishan, D.; Ghosh, S.; Chauhan, S.; Chub, A.Wireless battery charging systems for electric vehicles (EVs) are convenient, safe, and flexible against environmental hazards. Resonant inductive power transfer (RIPT) is the most common method for EV battery charging applications. The inductive coil structure is a major component of the RIPT system, and misalignment between inductive coils is a key issue. This paper proposes an improved, misalignment-tolerant, novel dual orbirect inductive coil structure. The proposed coil structure is designed using finite element modeling (FEM) and investigates magnetic parameters such as self and mutual inductance at various horizontal and vertical misalignment distances. Finally, based on the FEM analysis, the RIPT system is designed for 1 kW, and simulations were carried out in MATLAB. The presented results show that the output voltage exhibits minimal variation across 50% misalignment range. The peak efficiency achieved at full load conditions is 96.2%. © 2025 IEEE.
