DiffPitcher Demo Page

DiffPitcher: Diffusion-based Singing Voice Pitch Correction

Framework

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Template-based Automatic Pitch Correction Examples

Here are examples of template-based automatic pitch correction where the pitch curve of a template audio is transferred to the out-of-tune audio. A Dynamic Time Warping algorithm based on MCEP is applied to further align template pitch curve and the target audio.

*The degree of off-key singing is notably higher in Chinese examples. Furthermore, these Chinese examples are recorded by mobile devices, mirroring the typical usage scenario of a karaoke app.

*The paired English recordings are from PopBuTFy, which focuses more on fine-grained vocal techniques such as Vibrato rather than extreme off-key.

Sample 1 (CH/Female)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 2 (CH/Female)

Out-of-tune audio	Template audio

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Diff-Pitcher-WORLD	Diff-Pitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 3 (CH/Female)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 4 (CH/Male)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 5 (CH/Male)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 6 (EN/Female)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 7 (EN/Female)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 8 (EN/Female)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 9 (EN/Male)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Sample 10 (EN/Male)

Out-of-tune audio	Template audio

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DiffPitcher-WORLD	DiffPitcher-LPC	SiFi-GAN	WORLD Vocoder

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Score-based Automatic Pitch Correction Examples

Here are examples of score-based automatic pitch correction where the pitch curve predicted by the pitch predictor is transferred to the out-of-tune audio. The pitch predictor takes MIDI notes and the vocal spectrum of the out-of-tune audio as inputs.

*Compared with Templated-based APC, score-based APC offers great flexibility and diversity at the cost of a small degradation of naturalness.

*We are collecting English acapella examples.

Sample 1 (CH/Female)

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Out-of-tune audio	MIDI Notes	Tuned Audio

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Sample 2 (CH/Female)

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Out-of-tune audio	MIDI Notes	Tuned Audio

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Sample 3 (CH/Female)

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Out-of-tune audio	MIDI Notes	Tuned Audio

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Sample 4 (CH/Female)

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Out-of-tune audio	MIDI Notes	Tuned Audio

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Sample 5 (CH/Male)

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Out-of-tune audio	MIDI Notes	Tuned Audio

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Sample 6 (CH/Male)

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Out-of-tune audio	MIDI Notes	Tuned Audio

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Appendix

Objective Experiment:

• Log RMSE of Pitch Shifting

Approach	-6 Semitones	-3 Semitones	Reconstruction	+3 Semitones	+6 Semitones
WORLD	0.03	0.03	0.03	0.03	0.03
SiFi-GAN	0.05	0.04	0.04	0.05	0.04
DiffPitcher-WORLD	0.04	0.03	0.04	0.04	0.06

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• Word Error Rate of Pitch Shifting

Approach	-6 Semitones	-3 Semitones	Reconstruction	+3 Semitones	+6 Semitones
WORLD	2.00%	2.68%	3.23%	3.04%	2.17%
SiFi-GAN	2.98%	2.85%	3.35%	2.98%	3.61%
DiffPitcher-WORLD	2.57%	2.41%	2.88%	2.64%	2.23%

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