This paper proposes a new method for the pitch estimation of sung songs for transcription. The previous pitch estimation methods that are considered most for musical instrument sounds but few for sung songs are based on the extraction of the pitch frequencies. But the extraction of the pitches is rather difficult and sophisticated signal processing is necessary since the musical sound has many harmonic components. The principle of our method is the elimination of the pitch and its harmonic frequencies. This can be performed simply by a comb filter. To adapt the fluctuation of song pitches, we use double comb filters. Using two cascade connected twelve double comb filters that are connected in parllel and are corresponding to each tone in one octave, we can estimate the pitches of solo and duet songs.
This paper proposes a new pitch estimation method using resonator-type comb filtersfor the musical sounds including a percussion sound. We can estimate the pitch by detecting the output having maximum amplitude in twelve resonator-type comb filters connected in parallel. We could obtain the pitch estimation with mean error 3.4 % for artificial musical sounds that are assumed to be the sounds for almost every kind musical instruments.
This paper proposes a simple pitch detection method using the parallel connected comb filters. We can know the pitches of a musical sound by detecting the smaller outputs in twelve comb filters connected in parallel. Each comb filter has zero points corresponding to each pitch and its harmonic frequencies, and so the outputs of the comb filters corresponding to input pitch frequencies have smaller frequency components, and show smaller outputs than other comb filters' ones. We could detect the pitches with the probability of 98.2% for double tones and 91.1% for triple tones.
SUMMARYPitch estimation processing is an essential process in the automatic scoring of music. In this paper we propose a method for estimating the pitch of polyphonic vocal lines, an area that has received almost no research. The proposed method estimates pitch by using 12 comb filters connected together in parallel (corresponding to the 12 notes of an octave) together with singular value decomposition (SVD). The approach is based on the fact that a comb filter (H(z) = 1 -z −N ) is able to eliminate all the harmonic components of the note to which it corresponds and also that the SVD of the matrix of signal samples enables us to distinguish the number of harmonic components in the signal from the number of singular values obtained. In other words, together with the above-mentioned structure we are able to use the SVD to detect outputs in which the number of harmonic components has been reduced and thereby estimate the pitch of a note. We confirm the effectiveness of the proposed method by presenting the results of estimating pitch using the proposed method on polyphonic vocal music with both two and three voices singing at the same time.
A new pitch estimation method for song sounds using twelve comb filters and singular value decomposition (SVD) processing is presented. This method is based on the ability of a comb filter, corresponding to one tone, to eliminate the fundamental frequency and other harmonic frequencies, and also on the relationship between the number of singular values obtained from the SVD and the number of the signal harmonic components. The pitches can be estimated by using a set of twelve comb filters connected in parallel to eliminate one tone in the input, and by identifying outputs with a smaller number of singular values. Pitch estimation results for a duet and a trio with this method are presented.
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