About: Pitch Detection Algorithm for Continuous Speech Signals Using Viterbi Traceback with Temporal Forgetting     Goto   Sponge   NotDistinct   Permalink

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  • This paper presents a pitch-detection algorithm aimed to be applied on signals containing continuous speech. The core of the method is based on merged normalized forward-backward correlation (MNFBC) working in a time domain with ability to voicing decision. In addition to this, Viterbi traceback is used for post-processing the MNFBC output considering three best F0 candidates in each step. This should make final pitch contour smoother and should also prevent octave errors. In transition probabilities between these F0 candidates two major improvements were made over existing post-processing method. Firstly, we compare pitch distance in musical cents, and secondly a temporal forgetting is being applied not to penalize pitch jumps after prosodic pauses of one speaker or changes in pitch connected with turn-taking in dialogs. Results computed on a pitch-reference database definitely show the benefit of first one, but did not prove benefits of the second yet.
  • This paper presents a pitch-detection algorithm aimed to be applied on signals containing continuous speech. The core of the method is based on merged normalized forward-backward correlation (MNFBC) working in a time domain with ability to voicing decision. In addition to this, Viterbi traceback is used for post-processing the MNFBC output considering three best F0 candidates in each step. This should make final pitch contour smoother and should also prevent octave errors. In transition probabilities between these F0 candidates two major improvements were made over existing post-processing method. Firstly, we compare pitch distance in musical cents, and secondly a temporal forgetting is being applied not to penalize pitch jumps after prosodic pauses of one speaker or changes in pitch connected with turn-taking in dialogs. Results computed on a pitch-reference database definitely show the benefit of first one, but did not prove benefits of the second yet. (en)
Title
  • Pitch Detection Algorithm for Continuous Speech Signals Using Viterbi Traceback with Temporal Forgetting
  • Pitch Detection Algorithm for Continuous Speech Signals Using Viterbi Traceback with Temporal Forgetting (en)
skos:prefLabel
  • Pitch Detection Algorithm for Continuous Speech Signals Using Viterbi Traceback with Temporal Forgetting
  • Pitch Detection Algorithm for Continuous Speech Signals Using Viterbi Traceback with Temporal Forgetting (en)
skos:notation
  • RIV/68407700:21230/11:00183475!RIV12-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0707), P(GD102/08/H008)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 220435
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00183475
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • PDA; fundamental frequency; Viterbi; temporal forgetting; MNFBC; speech processing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5034E44BD2EE]
http://linked.open...v/mistoKonaniAkce
  • Prague
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • POSTER 2011 - 15th International Student Conference on Electrical Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bartošek, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze. Fakulta elektrotechnická
https://schema.org/isbn
  • 978-80-01-04806-1
http://localhost/t...ganizacniJednotka
  • 21230
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