Search Results - "Rengaswamy, Pradeep"

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  1. 1

    SongF0: A Spectrum-Based Fundamental Frequency Estimation for Monophonic Songs by Rengaswamy, Pradeep, Rao, K. Sreenivasa, Dasgupta, Pallab

    Published in Circuits, systems, and signal processing (01-02-2021)
    “…In this paper, we propose a fundamental frequency ( f 0 ) estimation method for monophonic songs. The proposed method (SongF0) performs simultaneous…”
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    Journal Article
  2. 2

    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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    Journal Article
  3. 3
  4. 4

    Robust f0 extraction from monophonic signals using adaptive sub-band filtering by Rengaswamy, Pradeep, Kiran Reddy, M., Sreenivasa Rao, Krothapalli, Dasgupta, Pallab

    Published in Speech communication (01-01-2020)
    “…•The proposed f0 estimation method performs reasonably well for neutral speech, songs and emotional speech. Whereas the existing f0 estimation methods are…”
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    Journal Article
  5. 5

    hf0: A hybrid pitch extraction method for multimodal voice by Rengaswamy, Pradeep, M, Gurunath Reddy, Rao, Krothapalli Sreenivasa

    Published 22-04-2019
    “…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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    Journal Article
  6. 6

    Designing automatic note transcription system for Hindustani classical music by Dhara, Prasenjit, Rengaswamy, Pradeep, Rao, K. Sreenivasa

    “…Hindustani music is heterophonic with lead voice accompanied by instruments. A trained Hindustani musician is capable of perceiving the notes based on the lead…”
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    Conference Proceeding
  7. 7

    Audio Mining: Unsupervised Spoken Term Detection over an Audio Database by Kumar R., Kishore, Sarkar, Sandipan, Rengaswamy, Pradeep, Rao, K. Sreenivasa

    “…Audio mining, also called audio searching, takes a spoken query and locates the search term in an audio/speech file. Spoken query search or spoken term…”
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    Conference Proceeding