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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 An audit of Dysphagia patients attending speech therapy clinic at a tertiary hospital in Malaysia Amelia Inbam Neelagandan; Esther Tuin; Tay, Chia Yi. - : Universiti Malaysia Sabah, 2021 BASE Show details 2 THE SCALAR INTERPRETATION OF THE ADDITIVE FOCUS PARTICLE *=BV IN SELECT BORO-GARO LANGUAGES1 Sansuma Brahma; Rajesh Kumar In: Journal of the Southeast Asian Linguistics Society, Vol 14, Iss 1, Pp 73-91 (2021) (2021) BASE Show details 3 Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing ... Mundotiya, Rajesh Kumar; Singh, Manish Kumar; Ai, Alexa. - : Unpublished, 2020 BASE Show details 4 Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi ... Mundotiya, Rajesh Kumar; Kumar, Shantanu; kumar, Ajeet. - : arXiv, 2020 BASE Show details 5 Speech Emotion Recognition using Support Vector Machine ... Jain, Manas; Narayan, Shruthi; Balaji, Pratibha; P, Bharath K; Bhowmick, Abhijit; R, Karthik; Muthu, Rajesh Kumar. - : arXiv, 2020 Abstract: In this project, we aim to classify the speech taken as one of the four emotions namely, sadness, anger, fear and happiness. The samples that have been taken to complete this project are taken from Linguistic Data Consortium (LDC) and UGA database. The important characteristics determined from the samples are energy, pitch, MFCC coefficients, LPCC coefficients and speaker rate. The classifier used to classify these emotional states is Support Vector Machine (SVM) and this is done using two classification strategies: One against All (OAA) and Gender Dependent Classification. Furthermore, a comparative analysis has been conducted between the two and LPCC and MFCC algorithms as well. ... Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Information Retrieval cs.IR; Sound cs.SD URL: https://arxiv.org/abs/2002.07590 https://dx.doi.org/10.48550/arxiv.2002.07590 BASE Hide details 6 Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications ... Mundotiya, Rajesh Kumar; Singh, Manish Kumar; Kapur, Rahul. - : arXiv, 2020 BASE Show details 7 Characterization of ASR gene and its role in drought tolerance in chickpea (Cicer arietinum L.) Sachdeva, Supriya; Bharadwaj, C.; Singh, Rajesh Kumar... In: PLoS One (2020) BASE Show details 8 Assessment and reliability of the World Health Organisation quality of life (WHO QOL-BREF) questionnaire in total hip replacement patients Kumar, Prasoon; Sen, Ramesh Kumar; Aggarwal, Sameer... In: J Clin Orthop Trauma (2020) BASE Show details 9 Clitic or Agreement Restriction in Santali: A Typological Analysis Rajesh KUMAR; Mayuri J. DILIP In: Acta Linguistica Asiatica, Vol 10, Iss 1 (2020) (2020) BASE Show details 10 Understanding the Terminology for Snack Foods and Their Texture by Consumers in Four Languages: A Qualitative Study Rajesh Kumar; Edgar Chambers In: Foods ; Volume 8 ; Issue 10 (2019) BASE Show details 11 Negative Polarity Items in Telugu Rajesh KUMAR; Mayuri J. DILIP In: Acta Linguistica Asiatica, Vol 9, Iss 1, Pp 9-28 (2019) (2019) BASE Show details 12 Phrasal Integrity in Magahi Complex Predicates ... Iosr Journals; Nilu 1 , Rajesh Kumar. - : Figshare, 2014 BASE Show details 13 Non-intrusive speech quality assessment using several combinations of auditory features Dubey, Rajesh Kumar; Kumar, Arun In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 16 (2013) 1, 89-101 OLC Linguistik Show details 14 Acoustic modeling problem for automatic speech recognition system, (part 1), conventional methods Dave, Mayank; Aggarwal, Rajesh Kumar In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 14 (2011) 4, 297-308 BLLDB OLC Linguistik Show details 15 Acoustic modeling problem for automatic speech recognition system, (part 2), advances and refinements Dave, Mayank; Aggarwal, Rajesh Kumar In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 14 (2011) 4, 309-320 BLLDB OLC Linguistik Show details 16 Video Audio Interface for Recognizing Gestures of Indian Sign Language P. V. V. Kishore; P. Rajesh Kumar, E. Kiran Kumar , S.R.C.Kishore. - 2011 BASE Show details 17 Phrasal Integrity in Magahi Complex Predicates Nilu; Rajesh Kumar In: http://www.iosrjournals.org/iosr-jhss/papers/Vol3-issue1/D0312530.pdf BASE Show details

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