Auditory model-based methods for multiple fundamental frequency estimation

Signal Processing Methods for Music Transcription

Volumn , Issue , 2006, Pages 229-265

  Klapuri, Anssi ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

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EID: 78651484215     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/0-387-32845-9_8     Document Type: Chapter

References (10)

1. More exactly, all instruments in the chordophone and aerophone families (see Table 6.1 on p. 167).
2. In practice, the windowing and summing can be implemented very efficiently using a leaky integrator.
3. As a non-linear operation, the ACF does not have a frequency response. However, since the ACF of a time-domain signal is the inverse Fourier transform of its power spectrum, the power response of the ACF can be depicted for a single period value.
4. Cooke designed his model exactly for this purpose: to support the grouping activities in ASA [100, p. 14].
5. Examples of such chords are the major triad and the interval of a perfect fifth.
6. The SDF is closely related to the average magnitude difference function (AMDF) that has been used to estimate the FO of speech [549]. The AMDF is obtained by summing absolute values instead of their squares in (8.14).
7. In practice, the analysis frame x has to be zero-padded to twice its length before the first transform.
8. University of Iowa samples: theremin.music.uiowa.edu/MIS.html
9. IRCAM Studio Online: soleil.ircam.fr
10. The onset of the sounds was defined to be at the point where the waveform reached one third of its maximum value during the first 200 ms of its playing.