Search Results - "Rengaswamy, Pradeep"
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SongF0: A Spectrum-Based Fundamental Frequency Estimation for Monophonic Songs
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 -
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hf0: A Hybrid Pitch Extraction Method for Multimodal Voice
Published in Circuits, systems, and signal processing (2021)“…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 -
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hf_0$$: A Hybrid Pitch Extraction Method for Multimodal Voice
Published in Circuits, systems, and signal processing (01-01-2021)Get full text
Journal Article -
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Robust f0 extraction from monophonic signals using adaptive sub-band filtering
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 -
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hf0: A hybrid pitch extraction method for multimodal voice
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 -
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Designing automatic note transcription system for Hindustani classical music
Published in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (01-09-2016)“…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 -
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Audio Mining: Unsupervised Spoken Term Detection over an Audio Database
Published in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (01-09-2018)“…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