A HMM-Based Pitch Tracker for Audio Queries

نویسندگان

  • Nicola Orio
  • Matteo Sisti Sette
چکیده

In this paper we present an approach to the transcription of musical queries based on a hidden Markov model (HMM). The HMM is used to model the audio features related to the singing voice, and the transcription is obtained through Viterbi decoding. We report our preliminary work on evaluation of the system.

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تاریخ انتشار 2003