Search Results - "Reddy M, Gurunath"

Predominant Melody Extraction from Vocal Polyphonic Music Signal by Time-Domain Adaptive Filtering-Based Method by Gurunath Reddy, M., Sreenivasa Rao, K.

“…In this paper, a time-domain adaptive filtering-based melody extraction method is proposed. The proposed method works in multiple stages to extract the vocal…”
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Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics by Gurunath Reddy, M, Zhang, Zhe, Yu, Yi, Harscoet, Florian, Canales, Simon, Tang, Suhua

“…We propose a deep attention-based alignment network, which aims to automatically predict lyrics and melody with given incomplete lyrics as input in a way…”
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hf0: A Hybrid Pitch Extraction Method for Multimodal Voice by Rengaswamy, Pradeep, Reddy, M. Gurunath, Rao, K. Sreenivasa, Dasgupta, Pallab

“…Pitch or fundamental frequency ( f 0 ) estimation is a fundamental problem extensively studied for its potential speech and clinical applications. The existing…”
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Predominant melody extraction from vocal polyphonic music signal by combined spectro-temporal method by Reddy, M. Gurunath, Rao, K. Sreenivasa

“…A combined spectro-temporal based method is proposed to derive the predominant melody from vocal polyphonic music signals. In the proposed method, vocal…”
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Neutral to Joyous Happy Emotion Conversion by Reddy, M Gurunath, Rao, K. Sreenivasa

“…A method to convert neutrally synthesised speech to joyous happy emotion by prosody modification and laughter synthesis is presented. Modified zero frequency…”
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hf_0$$: A Hybrid Pitch Extraction Method for Multimodal Voice by Rengaswamy, Pradeep, Reddy, M. Gurunath, Rao, K. Sreenivasa, Dasgupta, Pallab

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Neutral to happy emotion conversion by blending prosody and laughter by Reddy M, Gurunath, Rao, K. Sreenivasa

“…In this paper, we propose a method to convert synthesised neutral speech to happy emotion speech by prosody modification and synthesizing laughter sequence…”
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Multi-stage children story speech synthesis for Hindi by Harikrishna, D. M., Reddy M, Gurunath, Rao, K. Sreenivasa

“…In this paper, we propose a multi-stage children story speech synthesis system for Hindi language. The proposed system performs the following tasks: (i)…”
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Improvement of phone recognition accuracy using source and system features by Manjunath, K. E., Rao, K. Sreenivasa, Reddy, M. Gurunath

“…The goal of this work is to improve phone recognition accuracy using combination of source and system features. As speech is produced by exciting time varying…”
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Two-stage phone recognition system using articulatory and spectral features by Manjunath, K E, Rao, K. Sreenivasa, Reddy, M Gurunath

“…In this paper, we propose a two-stage phone recognition system using articulatory and spectral features. In the first stage, articulatory features are…”
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Automatic pitch accent contour transcription for Indian languages by Reddy, M. Gurunath, Sen, Procheta, Manjunath, K. E., Dutta, Arup, Haque, Arijul, Sarkar, Parakrant, Rao, K. Sreenivasa

“…In this paper, an automatic method to transcribe the pitch accent contour from the speech signal is presented. Pitch contour transcription refers to the…”
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Telugu emotional story speech synthesis using SABLE markup language by Reddy, M. Gurunath, Harikrishna, D. M., Rao, K. Sreenivasa, Manjunath, K. E.

“…In this paper, a framework for synthesizing Telugu emotional speech for story telling applications is presented. An XML based markup langauge, SABLE is used to…”
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Designing prosody rule-set for converting neutral TTS speech to storytelling style speech for Indian languages: Bengali, Hindi and Telugu by Sarkar, Parakrant, Haque, Arijul, Dutta, Arup Kumar, Reddy, Gurunath M., Harikrishna, M. D., Dhara, Prasenjit, Verma, Rashmi, Narendra, P. N., Sunil, B. Kr S., Yadav, Jainath, Rao, K. Sreenivasa

“…This paper provides a design of prosody rule-set for transforming the neutral speech synthesized by Text-to-Speech (TTS) system to storytelling style speech…”
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Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images by Kakkar, Mansi, Shanbhag, Dattesh, Aladahalli, Chandan, M, Gurunath Reddy

“…Vision-language models have emerged as a powerful tool for previously challenging multi-modal classification problem in the medical domain. This development…”
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Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review by M, Gurunath Reddy, Rao, K. Sreenivasa, Das, Partha Pratim

“…Melody extraction is a vital music information retrieval task among music researchers for its potential applications in education pedagogy and the music…”
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Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics by M, Gurunath Reddy, Zhang, Zhe, Yu, Yi, Harscoet, Florian, Canales, Simon, Tang, Suhua

“…We propose a deep attention-based alignment network, which aims to automatically predict lyrics and melody with given incomplete lyrics as input in a way…”
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One-shot Localization and Segmentation of Medical Images with Foundation Models by Anand, Deepa, M, Gurunath Reddy, Singhal, Vanika, Shanbhag, Dattesh D, KS, Shriram, Patil, Uday, Bhushan, Chitresh, Manickam, Kavitha, Gui, Dawei, Mullick, Rakesh, Gopal, Avinash, Bhatia, Parminder, Kass-Hout, Taha

“…Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used…”
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hf0: A hybrid pitch extraction method for multimodal voice by Rengaswamy, Pradeep, M, Gurunath Reddy, Rao, Krothapalli Sreenivasa

“…Pitch or fundamental frequency (f0) extraction is a fundamental problem studied extensively for its potential applications in speech and clinical applications…”
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Knowledge Distillation for Singing Voice Detection by Paul, Soumava, M, Gurunath Reddy, Rao, K Sreenivasa, Das, Partha Pratim

“…Singing Voice Detection (SVD) has been an active area of research in music information retrieval (MIR). Currently, two deep neural network-based methods, one…”
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Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning by M, Gurunath Reddy, Mandal, Tanumay, Rao, Krothapalli Sreenivasa

“…In this paper, we propose a classification based glottal closure instants (GCI) detection from pathological acoustic speech signal, which finds many…”
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